CN117594213A - Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease - Google Patents

Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease Download PDF

Info

Publication number
CN117594213A
CN117594213A CN202311371488.4A CN202311371488A CN117594213A CN 117594213 A CN117594213 A CN 117594213A CN 202311371488 A CN202311371488 A CN 202311371488A CN 117594213 A CN117594213 A CN 117594213A
Authority
CN
China
Prior art keywords
detected
detection
quality control
acquiring
value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311371488.4A
Other languages
Chinese (zh)
Inventor
廉春晖
李雨艳
张敏
周婷婷
刘丽苹
刘明珠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jilin Jinyu Medical Laboratory Co ltd
Original Assignee
Jilin Jinyu Medical Laboratory Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jilin Jinyu Medical Laboratory Co ltd filed Critical Jilin Jinyu Medical Laboratory Co ltd
Priority to CN202311371488.4A priority Critical patent/CN117594213A/en
Publication of CN117594213A publication Critical patent/CN117594213A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis

Abstract

The invention relates to the field of data calibration, and discloses a quantitative result calibration method, a quantitative result calibration device, electronic equipment and a storage medium based on genetic metabolic diseases, wherein the method comprises the following steps: acquiring a plurality of items to be detected of a detection instrument, acquiring upper and lower numerical limits of quality control products for detection on the extracted items to be detected according to the plurality of items to be detected, acquiring reliability values of the extracted items to be detected by utilizing the plurality of quality control values after confirming that the detection process of the extracted items to be detected is normal based on the upper and lower numerical limits, acquiring an optimal calibration period of the detection instrument based on the reliability values, acquiring detection conditions, confirming to calibrate the detection instrument after confirming to adjust the optimal calibration period according to the detection conditions, and completing the periodic quantitative result calibration of the detection instrument. The invention mainly aims to realize the detection process of each item to be detected of the automatic monitoring detection instrument and complete the periodic quantitative result calibration of the detection instrument according to the detection conditions.

Description

Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease
Technical Field
The invention relates to a quantitative result calibration method, device, equipment and medium based on genetic metabolic diseases, and belongs to the field of data calibration.
Background
In the process of carrying out the blood genetic disease project, a detecting instrument is required to detect the blood genetic disease, one detecting instrument can detect a plurality of indexes, and because of the huge number of indexes, each index and the corresponding project to be detected are complex, the plurality of projects to be detected can influence each other, so that the result calibration of each detecting project in the plurality of detectable projects of the detecting instrument is particularly important.
In the current detection process, a plurality of indexes are generally monitored manually, when the related detection conditions related to the detection instrument change, each detection item in the plurality of detection items may be affected, and the detection instrument may detect the plurality of detection items simultaneously.
Although the above mentioned monitor of each detection item can be realized by artificially monitoring multiple indexes, the data volume after detection is huge, and it is very troublesome to judge by human means whether each detection item of the detection instrument has problems in multiple detection items, and meanwhile, when the detection instrument is used, the calibration needs to be performed periodically, if the calibration of the detection instrument is too frequent, the resource waste will be caused, but if the calibration is not timely, the initial detection result will not be accurate, so it is important to automatically monitor the detection process of each item to be detected of the detection instrument and complete the calibration of the periodic quantitative result of the detection instrument according to the detection conditions.
Disclosure of Invention
The invention provides a quantitative result calibration method, a device, electronic equipment and a storage medium based on genetic metabolic diseases, which mainly aim to realize the detection process of each item to be detected of an automatic monitoring detection instrument and complete the periodic quantitative result calibration of the detection instrument according to detection conditions.
In order to achieve the above object, the present invention provides a quantitative result calibration method based on genetic metabolic diseases, comprising:
acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the plurality of detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
Summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
summarizing the minimum reliability values of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the optimal calibration period of the detection instrument by utilizing a pre-built optimal calibration period calculation formula and the Weibull model fitting curve, wherein the optimal calibration period calculation formula is as follows:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
and after confirming and adjusting the optimal calibration period according to the detection conditions and the pre-constructed pre-construction conditions, acquiring and updating the optimal calibration period based on the detection conditions, confirming and calibrating the detection instrument according to the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the upper and lower negative thresholds, and completing the periodic quantitative result calibration of the detection instrument.
Optionally, the obtaining the upper and lower limits of the values of the extracted items to be detected by using the plurality of quality control values includes:
acquiring the average value of a plurality of quality control values according to the plurality of quality control values, and obtaining a first sample average value;
acquiring a plurality of abnormal-free values and a plurality of interstitial assessment values according to the extracted items to be detected, and acquiring an abnormal-free sample mean value and an interstitial sample mean value based on the abnormal-free values and the interstitial assessment values;
and acquiring a quality control sample mean value by using the first sample mean value, the abnormal-free sample mean value and the inter-chamber sample mean value, and acquiring the upper and lower numerical limits of the extracted to-be-detected items based on the quality control sample mean value.
Optionally, after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values, the method includes:
sequentially extracting quality control values from the plurality of quality control values, and acquiring quality control points corresponding to the extracted quality control values based on the extracted quality control values and samples to be detected corresponding to the extracted quality control values to obtain a plurality of quality control points;
sequentially extracting quality control points from the plurality of quality control points, and executing the following operations on the extracted quality control points:
Judging whether the detection process of the extracted item to be detected is normal or not based on the extracted quality control point and upper and lower numerical limits, wherein the upper and lower numerical limits comprise: an upper numerical limit and a lower numerical limit;
if the quality control value corresponding to the extracted quality control point is larger than the upper limit of the value or the quality control value corresponding to the quality control point is smaller than the lower limit of the value, prompting that the detection process of the item to be detected corresponding to the extracted quality control point is abnormal, and obtaining an abnormal detection result;
if the quality control value corresponding to the extracted quality control point is smaller than the upper limit of the value and larger than the lower limit of the value, confirming that the detection process of the item to be detected corresponding to the extracted quality control point is normal, and obtaining a normal detection result;
and summarizing the abnormal detection result or the normal detection result to obtain a detection result set, and if the detection result sets are all normal detection results, confirming that the detection process of the extracted item to be detected is normal based on the detection result set.
Optionally, the acquiring the reliability value of the extracted item to be detected by using the plurality of quality control values includes:
calculating a reliability value according to a first sample mean value of the quality control values and a pre-constructed measurement reliability expression, wherein the measurement reliability expression is:
Wherein R (t) represents the reliability value of the extracted item to be detected, x m A first sample mean value representing the plurality of quality control values, delta representing a preset maximum allowable uncertainty, U 95 Confidence probability representing preset expanded uncertainty, and U 95 ＝95％。
Optionally, after confirming and adjusting the optimal calibration period according to the detection condition and the pre-constructed condition, the method includes:
acquiring detection conditions of each item to be detected in a plurality of items to be detected based on the items to be detected of the detection instrument, wherein the detection conditions comprise instrument parts of the detection instrument, detection reagents and detection environments;
judging whether to use the optimal calibration period or not based on detection conditions corresponding to each item to be detected and pre-constructed conditions pre-constructed for each item to be detected;
if the detection conditions are consistent with the pre-configuration conditions, confirming that the detection instrument is calibrated in the optimal calibration period;
if the detection condition is inconsistent with the pre-configuration condition, confirming to adjust the optimal calibration period.
Optionally, the acquiring the updated optimal calibration period based on the detection condition includes:
acquiring a second quality control product based on the time to be detected, and acquiring a plurality of second samples to be detected according to the second quality control product;
Acquiring a second minimum reliability value set of a second quality control product in the plurality of items to be detected by using the second sample to be detected and the plurality of items to be detected;
and calculating an updated optimal calibration period of the detection instrument based on the optimal calibration period calculation formula, the minimum reliability value set and the second minimum reliability value set.
Optionally, the step of confirming that the calibration is performed on the detecting instrument in the waiting time and the updated optimal calibration period according to the updated optimal calibration period and the updated negative upper and lower thresholds, and completing the calibration of the periodic quantitative result of the detecting instrument includes:
acquiring a negative detection mean value of each item to be detected in the plurality of items to be detected based on the upper and lower negative threshold values of each item to be detected in the plurality of items to be detected, and acquiring a plurality of negative detection mean values;
acquiring a plurality of second quality control values of the second quality control product under the time to be detected based on the second quality control product, and acquiring a second negative detection mean value of each item to be detected in the plurality of items to be detected based on the second quality control values and the plurality of items to be detected, so as to acquire a plurality of second negative detection mean values;
calculating and obtaining a mean shift value of each second negative detection mean value in the second negative detection mean values by using a pre-constructed mean shift value calculation formula, the second negative detection mean values and the second negative detection mean values, wherein the mean shift value calculation formula is as follows:
Wherein N is i % represents the mean shift value of the ith item in the plurality of items to be detected, E i Representing the second negative detection mean value, X of the ith item in a plurality of items to be detected i Representing the negative detection mean value of the ith item in a plurality of items to be detected;
comparing the average value deviation value of each item to be detected with the preset deviation value threshold value;
when the mean value deviation value is smaller than the deviation value threshold value, the extracted items to be detected in the detection instrument are confirmed to be normally used;
when the mean value deviation value is larger than the deviation value threshold value, confirming that the extracted items to be detected in the detecting instrument need to be calibrated, acquiring a modified negative threshold value and a modified software calibration coefficient by using a pre-constructed calibration formula, a negative upper and lower threshold value and a second negative upper and lower threshold value, and completing automatic period calibration of the detecting instrument under the time to be detected;
and acquiring an updated negative threshold value and an updated software calibration coefficient under the updated optimal calibration period based on the updated optimal calibration period, and completing automatic period calibration of the detecting instrument under the updated optimal period based on the updated negative threshold value and the updated software calibration coefficient.
In order to solve the above problems, the present invention also provides a quantitative result calibration device based on a genetic metabolic disease, the device comprising:
The to-be-detected project process confirming module is used for acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
the minimum reliability value acquisition module is used for summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
The best calibration period acquisition module is used for summarizing the minimum reliability value of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the best calibration period of the detection instrument by utilizing a pre-built best calibration period calculation formula and the Weibull model fitting curve, wherein the best calibration period calculation formula is as follows:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
the automatic calibration module of the detecting instrument is used for acquiring the detecting conditions and the time to be detected based on the detecting instrument, acquiring the updated optimal calibration period based on the detecting conditions after confirming and adjusting the optimal calibration period according to the detecting conditions and the pre-constructed pre-construction conditions, confirming to calibrate the detecting instrument under the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the negative upper and lower thresholds, and completing the periodic quantitative result calibration of the detecting instrument.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to implement the method of quantitative result calibration based on inherited metabolic disease described above.
In order to solve the above-mentioned problems, the present invention also provides a computer-readable storage medium having stored therein at least one instruction that is executed by a processor in an electronic device to implement the above-mentioned quantitative result calibration method based on inherited metabolic diseases.
Compared with the problems described in the background art, the embodiment of the invention acquires a plurality of detection times of the pre-constructed detection instrument, sequentially extracts the detection times from the plurality of detection times, and performs the following operations on all the extracted detection times: acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected: extracting a sample to be detected from the plurality of samples to be detected, obtaining a plurality of quality control values based on the quality control values of the extracted sample to be detected under the extracted items to be detected, obtaining the upper and lower numerical limits of the extracted items to be detected by using the plurality of quality control values, confirming the normal detection process of the extracted items to be detected based on the upper and lower numerical limits and the plurality of quality control values, according to the embodiment of the invention, obtaining the quality control values of each item to be detected in the plurality of items to be detected by using the plurality of samples to be detected at different times, obtaining a plurality of quality control values, judging the detection process of each item to be detected of the detecting instrument to be normal based on the plurality of quality control values, automatically detecting the detection process of each item to be detected of the detecting instrument, obtaining the reliability values of the extracted items to be detected by using the plurality of quality control values, obtaining the reliability values of the extracted items to be detected under a plurality of detection times by using the plurality of quality control values, obtaining the reliability values of the best-fit curve, obtaining the reliability of the best-fit curve in the best-fit curve, and performing the best-fit curve-fit calibration on the best-value, and performing the best-fit curve-fit calculation on the best-fit curve, and obtaining the reliability-fit-based on the best-measure-value by using the best-measure-calculated value, based on the detection condition and the time to be detected, after confirming the adjustment of the optimal calibration period according to the detection condition and the pre-constructed pre-construction condition, the update of the optimal calibration period is obtained based on the detection condition, and the calibration of the detection instrument is carried out under the time to be detected and the update of the optimal calibration period according to the update of the optimal calibration period and the negative upper and lower thresholds. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for calibrating quantitative results based on the genetic metabolic diseases provided by the invention are mainly used for automatically monitoring the detection process of each item to be detected of the detection instrument and completing the periodic quantitative result calibration of the detection instrument according to the detection conditions.
Drawings
FIG. 1 is a flow chart of a method for calibrating quantitative results based on genetic metabolic diseases according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a calibration process for a detecting instrument according to the present invention under the time to be detected and the updated optimal calibration period;
FIG. 3 is a functional block diagram of a calibration device for quantitative results based on metabolic diseases according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the quantitative result calibration method based on the genetic metabolic disease according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a quantitative result calibration method based on genetic metabolic diseases. The execution subject of the quantitative result calibration method based on the genetic metabolic disease comprises, but is not limited to, at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the quantitative result calibration method based on the genetic metabolic disease may be performed by software or hardware installed in a terminal device or a server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
referring to fig. 1, a flow chart of a calibration method based on quantitative results of genetic metabolic diseases according to an embodiment of the invention is shown. In this embodiment, the quantitative result calibration method based on the genetic metabolic disease includes:
s1, acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the detection times, and executing the following operations on the extracted detection times: and acquiring a quality control product for detection, and acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product.
It can be understood that the detecting instrument is an instrument capable of detecting the blood genetic metabolic disease, the detecting instrument can detect a plurality of items to be detected in the blood genetic metabolic disease at the same time, the detecting time is the time for detecting the blood genetic metabolic disease by using the detecting instrument, the quality control product is a stable substance for detecting the performance of the detecting instrument, the sample to be detected is a sample obtained by dividing one quality control product into a plurality of quality control product samples, and the items to be detected are the items which can be detected by the quality control product in the detecting instrument.
For example, the laboratory divides a quality control product into six samples to be detected, respectively places two samples to be detected into a detection instrument at ten am for detection, places two samples to be detected into the detection instrument at two pm for detection, places two samples to be detected into the detection instrument at eight pm for detection, and performs detection of each item to be detected in a plurality of items to be detected on each sample to be detected.
S2, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected: and extracting a sample to be detected from the plurality of samples to be detected, and acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected to obtain a plurality of quality control values.
It is understood that the quality control value is a value obtained by extracting a sample to be detected from the item to be detected.
Illustratively, the plurality of items to be detected include: the method comprises the steps of extracting platelet concentration, hemoglobin concentration, white blood cell number and the like from a sample to be detected, wherein the item to be detected is the platelet concentration in the blood genetic metabolic disease, the samples to be detected are three samples to be detected, and detecting the platelet concentration of each sample to be detected in the three samples to be detected by using a detecting instrument to obtain three quality control values, wherein the three quality control values are the platelet concentrations corresponding to each sample to be detected in the three samples to be detected.
And S3, acquiring the upper and lower numerical limits of the extracted items to be detected by utilizing the quality control values, and acquiring the reliability values of the extracted items to be detected by utilizing the quality control values after confirming that the detection process of the extracted items to be detected is normal based on the upper and lower numerical limits and the quality control values.
It is understood that the upper and lower limits of the values are upper and lower limits of the quality control values representing the detection instrument within the controllable range, and the reliability values are values for describing the degree of reliability of the detection result based on the extracted item to be detected acquired by the detection instrument.
In detail, the obtaining the upper and lower limits of the values of the extracted items to be detected by using the plurality of quality control values includes:
acquiring the average value of a plurality of quality control values according to the plurality of quality control values, and obtaining a first sample average value;
acquiring a plurality of abnormal-free values and a plurality of interstitial assessment values according to the extracted items to be detected, and acquiring an abnormal-free sample mean value and an interstitial sample mean value based on the abnormal-free values and the interstitial assessment values;
and acquiring a quality control sample mean value by using the first sample mean value, the abnormal-free sample mean value and the inter-chamber sample mean value, and acquiring the upper and lower numerical limits of the extracted to-be-detected items based on the quality control sample mean value.
It can be understood that the first sample mean is a mean value of a plurality of quality control values corresponding to the extracted to-be-detected item, the non-abnormal value is a value corresponding to the extracted to-be-detected item and capable of being used for confirming that the detection instrument is normal, the room interstitial evaluation value is a value corresponding to the extracted to-be-detected item and used for confirming that the detection instrument is normal in other laboratories, the non-abnormal sample mean is a mean value of a plurality of non-abnormal values, the room sample mean is a mean value of a plurality of room interstitial evaluation values, the quality control sample mean is a mean value obtained based on the first sample mean value, the non-abnormal sample mean value and the room sample mean value and used for describing that the detection instrument can be normal, the upper limit and the lower limit of the value can be used for describing that the detection instrument can be normal, and when a detection result after detection in the extracted to-be-detected item by using the quality control item is not between the upper limit and the lower limit of the value, the machine is considered abnormal.
It should be noted that, by using the first sample mean value, the abnormal-free sample mean value, and the quality control sample mean value obtained by the inter-chamber sample mean value, and obtaining the upper and lower numerical limits of the extracted items to be detected based on the quality control sample mean value, the data amount when judging whether the detection instrument is controlled can be expanded, so that the upper and lower numerical limits are more reasonable, and errors of the upper and lower numerical limits caused by fewer data amounts are reduced.
In detail, after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and a plurality of quality control values, the method comprises the following steps:
sequentially extracting quality control values from the plurality of quality control values, and acquiring quality control points corresponding to the extracted quality control values based on the extracted quality control values and samples to be detected corresponding to the extracted quality control values to obtain a plurality of quality control points;
sequentially extracting quality control points from the plurality of quality control points, and executing the following operations on the extracted quality control points:
judging whether the detection process of the extracted item to be detected is normal or not based on the extracted quality control point and upper and lower numerical limits, wherein the upper and lower numerical limits comprise: an upper numerical limit and a lower numerical limit;
if the quality control value corresponding to the extracted quality control point is larger than the upper limit of the value or the quality control value corresponding to the quality control point is smaller than the lower limit of the value, prompting that the detection process of the item to be detected corresponding to the extracted quality control point is abnormal, and obtaining an abnormal detection result;
If the quality control value corresponding to the extracted quality control point is smaller than the upper limit of the value and larger than the lower limit of the value, confirming that the detection process of the item to be detected corresponding to the extracted quality control point is normal, and obtaining a normal detection result;
and summarizing the abnormal detection result or the normal detection result to obtain a detection result set, and if the detection result sets are all normal detection results, confirming that the detection process of the extracted item to be detected is normal based on the detection result set.
It can be understood that the quality control points are points including the extracted quality control values and the samples to be detected corresponding to the extracted quality control values in a pre-constructed quality control chart, the quality control points are all inserted into the quality control chart to obtain a detected quality control chart, the detected quality control chart is uploaded to a pre-constructed database, and the storage of the quality control values is completed.
It should be noted that, the quality control chart can intuitively represent the relation between the quality control points and the average value and the upper and lower limits of the quality control samples, the quality control chart is uploaded to the database for the database access personnel to read, and when the quality control values represented by the quality control points are abnormal, the detection instrument user can quickly lock the abnormal sources through the quality control chart in the database.
It can be understood that the upper limit of the numerical value is an upper limit of the numerical value for describing the normal detection process of the detecting instrument, the lower limit of the numerical value is a lower limit of the numerical value for describing the normal detection process of the detecting instrument, the abnormal detection result is a result report for indicating that the process of detecting the quality control numerical value corresponding to the quality control point in the extracted items to be detected is abnormal, the abnormal detection result contains information such as the quality control numerical value corresponding to the quality control point, the extracted items to be detected, the extracted samples to be detected and the like, when the abnormal detection result appears, the abnormal source is helped to be locked quickly, the normal detection result is a result report for indicating that the process of detecting the quality control numerical value corresponding to the quality control point in the extracted items to be detected is normal, the detection result set is a set of the detection result represented by the quality control numerical value corresponding to each quality control point in the extracted items to be detected, and the detection result set comprises the normal detection result to obtain the abnormal detection result.
The method includes the steps of obtaining three quality control points of the quality control values in a quality control chart based on the three quality control values, sequentially extracting the quality control points from the three quality control points, and if the quality control values corresponding to the first quality control point, the second quality control point and the third quality control point are smaller than the upper limit of the value and larger than the lower limit of the value, obtaining three normal detection results corresponding to the three quality control points, summarizing the three normal detection results to obtain a detection result set, wherein only the normal detection results exist in the detection result set, so that it is required to be stated that the detection process of the extracted items to be detected is normal, and the quality control chart is uploaded to a database in two parallel lines represented by the upper limit and the lower limit of the value, so that a data visitor can be helped to monitor the detection process of the detection instrument more intuitively.
In detail, the obtaining the reliability value of the extracted item to be detected by using the plurality of quality control values includes:
calculating a reliability value according to a first sample mean value of the quality control values and a pre-constructed measurement reliability expression, wherein the measurement reliability expression is:
Wherein R (t) represents the reliability value of the extracted item to be detected, x m A first sample mean value representing the plurality of quality control values, delta representing a preset maximum allowable uncertainty, U 95 Confidence probability representing preset expanded uncertainty, and U 95 ＝95％。
It is understood that the maximum allowable uncertainty represents the maximum value of deviation of the preset allowable quality control value from the first sample mean value, and the uncertainty is expanded to be a reasonable interval for determining the quality control value.
And S4, summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value.
It can be understood that the reliability value set is a set of a plurality of reliability values, the minimum reliability value is the reliability value with the smallest reliability value in the reliability value set, and the negative upper and lower thresholds are the upper and lower thresholds with negative detection results when the patient blood sample is used for detection in the actual detection process.
It should be understood that the reliability value can be calculated for the extracted item to be detected corresponding to each detection time of the plurality of detection times, so that the extracted item to be detected corresponds to one reliability value for each detection time, a reliability value set is obtained based on the reliability value, a minimum reliability value is obtained based on the reliability value set, and a negative upper and lower threshold value is obtained based on the minimum reliability value.
S5, summarizing the minimum reliability values of each item to be detected in a plurality of items to be detected in a plurality of detection times, obtaining a minimum reliability value set, obtaining a Weibull model fitting curve based on the minimum reliability value set, and obtaining the optimal calibration period of the detection instrument by utilizing a pre-built optimal calibration period calculation formula and the Weibull model fitting curve.
It can be understood that the minimum reliability value set is a set of a plurality of minimum reliability values, the optimal calibration period is the optimal time required for the next calibration obtained through calculation, and the optimal calibration period can ensure the normal use of the detecting instrument under the condition of reducing the conventional automatic calibration times as much as possible.
In detail, the optimal calibration period calculation formula is:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
it can be understood that the correction coefficient of the reliability value is a coefficient for reducing an error of the reliability value to correct the reliability, the reliability value index is an ideal reliability value, and the misjudgment rate is a probability for indicating the reliability value of the quality control point correctly judged by the detecting instrument.
S6, acquiring detection conditions and time to be detected based on the detection instrument, confirming and adjusting an optimal calibration period according to the detection conditions and the pre-constructed pre-construction conditions, acquiring and updating an optimal calibration period based on the detection conditions, confirming and executing calibration on the detection instrument under the time to be detected and the optimal calibration period according to the updated optimal calibration period and the upper and lower negative thresholds, and completing the periodic quantitative result calibration of the detection instrument.
It should be understood that the detection condition is the condition of the detection instrument when the laboratory performs a new round of detection, the time to be detected is the detection time corresponding to the detection condition, the pre-configured condition is the condition of the detection instrument when the laboratory performs a previous round of detection before the new round of detection, and the optimal calibration period is updated to be the optimal calibration period obtained after the new round of detection.
It should be noted that, before the time to be inspected, the optimal calibration period is obtained based on the pre-configured condition, however, when the laboratory faces a new round of inspection, the condition of changing the detection condition may occur, the detection result may be directly affected by the detection condition change, and the previous upper and lower thresholds of the negative may not be applicable to the detection condition after the change, so that the detection instrument needs to obtain the detection condition and the time to be inspected.
In detail, after confirming and adjusting the optimal calibration period according to the detection condition and the pre-constructed condition, the method comprises the following steps:
acquiring detection conditions of each item to be detected in a plurality of items to be detected based on the items to be detected of the detection instrument, wherein the detection conditions comprise instrument parts of the detection instrument, detection reagents and detection environments;
judging whether to use the optimal calibration period or not based on detection conditions corresponding to each item to be detected and pre-constructed conditions pre-constructed for each item to be detected;
if the detection conditions are consistent with the pre-configuration conditions, confirming that the detection instrument is calibrated in the optimal calibration period;
if the detection condition is inconsistent with the pre-configuration condition, confirming to adjust the optimal calibration period.
For example, the reagent for detecting the blood genetic metabolic disease in the laboratory changes a manufacturer in a new round of detection, so that the detection condition is changed, and the detection condition is inconsistent with the pre-configured condition before the new round of detection, and the changed detection condition may affect the upper and lower thresholds of the negative and the optimal calibration period, so that the detection condition and the waiting time of the new round need to be recorded, and the optimal calibration period needs to be confirmed and adjusted.
In detail, the acquiring the updated optimal calibration period based on the detection condition includes:
acquiring a second quality control product based on the time to be detected, and acquiring a plurality of second samples to be detected according to the second quality control product;
acquiring a second minimum reliability value set of a second quality control product in the plurality of items to be detected by using the second sample to be detected and the plurality of items to be detected;
and calculating an updated optimal calibration period of the detection instrument based on the optimal calibration period calculation formula, the minimum reliability value set and the second minimum reliability value set.
It can be understood that the second quality control product is a quality control product used under a detection condition, the second sample to be detected is a sample to be detected obtained based on the second quality control product, the second minimum reliability value set is a set of minimum reliability values obtained based on the second quality control product, and the updated optimal calibration period is an optimal calibration period obtained by combining the second reliability value set with the minimum reliability value set existing in the database.
For example, after a reagent is replaced in a to-be-detected item in the detection condition, a second quality control product is required to be used for detecting the detection instrument, the operation steps when the second quality control product is used are repeated to confirm that the detection process of the detection instrument is normal, a second minimum reliability value set is obtained based on the second quality control product, and the second minimum reliability value set and the minimum reliability value set are used for calculating and updating the optimal calibration period.
In detail, the step of confirming the execution of calibration on the detecting instrument according to the updated optimal calibration period and the negative upper and lower thresholds under the time to be detected and the updated optimal calibration period to complete the calibration of the periodic quantitative result of the detecting instrument comprises the following steps:
s61, acquiring a negative detection mean value of each item to be detected in the plurality of items to be detected based on the upper and lower negative threshold values of each item to be detected in the plurality of items to be detected, and acquiring a plurality of negative detection mean values;
s62, acquiring a plurality of second quality control values of the second quality control product under the time to be detected based on the second quality control product, and acquiring a second negative detection mean value of each item to be detected in a plurality of items to be detected based on the second quality control values and the items to be detected, so as to acquire a plurality of second negative detection mean values;
s63, calculating and obtaining a mean shift value of each second negative detection mean value in the second negative detection mean values by using a pre-constructed mean shift value calculation formula, the plurality of negative detection mean values and the plurality of second negative detection mean values, wherein the mean shift value calculation formula is as follows:
wherein N is i % represents the mean shift value of the ith item in the plurality of items to be detected, E i Representing the second negative detection mean value, X of the ith item in a plurality of items to be detected i Representing the negative detection mean value of the ith item in a plurality of items to be detected;
s64, comparing the average value deviation value of each item to be detected with the preset deviation value threshold value;
when the mean value deviation value is smaller than the deviation value threshold value, the extracted items to be detected in the detection instrument are confirmed to be normally used;
when the mean value deviation value is larger than the deviation value threshold value, confirming that the extracted items to be detected in the detecting instrument need to be calibrated, acquiring a modified negative threshold value and a modified software calibration coefficient by using a pre-constructed calibration formula, a negative upper and lower threshold value and a second negative upper and lower threshold value, and completing automatic period calibration of the detecting instrument under the time to be detected.
S65, acquiring an updated negative threshold value and an updated software calibration coefficient in the updated optimal calibration period based on the updated optimal calibration period, and completing automatic period calibration of the detecting instrument in the updated optimal period based on the updated negative threshold value and the updated software calibration coefficient.
It can be understood that the negative detection mean value is a mean value corresponding to an upper and lower negative threshold value, the second quality control value is a quality control value based on a second quality control product under a to-be-detected item, the second negative detection mean value is a negative detection mean value based on a second quality control product, the mean shift value is a value shifted between the negative detection mean values of the second negative detection mean values, it is to be noted that each of the second negative detection mean values in the plurality of second negative detection mean values corresponds to a mean shift value, the shift value threshold value is a maximum mean shift value for confirming that the upper and lower negative threshold values do not need to be corrected in the detection instrument under the to-be-detected time, the software calibration coefficient is a coefficient for correcting the data obtained by improving the authenticity of the data under the to-be-detected time, the change negative threshold value is a negative upper and lower negative threshold value corrected when the mean shift value is larger than the shift value threshold value under the to-be-detected time, the update negative threshold value is a negative upper and lower threshold value obtained when the detection instrument is calibrated under the update calibration period, and the update software calibration coefficient is a coefficient for correcting the data obtained by improving the data obtained by the detection instrument under the update calibration period.
In a new test in a laboratory, the reagent is replaced, the test instrument needs to be re-tested when the reagent is replaced, the test time at the moment is recorded as the time to be tested, the test instrument is calibrated at the time to be tested, the update of the optimal calibration period is recalculated based on the time to be tested, the test instrument is calibrated at the update of the optimal calibration period, and the adjustment of the automatic period calibration, the negative upper and lower thresholds and the software calibration coefficient of the automatic test instrument after the test condition is changed can be realized.
Compared with the problems described in the background art, the embodiment of the invention acquires a plurality of detection times of the pre-constructed detection instrument, sequentially extracts the detection times from the plurality of detection times, and performs the following operations on all the extracted detection times: acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected: extracting a sample to be detected from the plurality of samples to be detected, obtaining a plurality of quality control values based on the quality control values of the extracted sample to be detected under the extracted items to be detected, obtaining the upper and lower numerical limits of the extracted items to be detected by using the plurality of quality control values, confirming the normal detection process of the extracted items to be detected based on the upper and lower numerical limits and the plurality of quality control values, according to the embodiment of the invention, obtaining the quality control values of each item to be detected in the plurality of items to be detected by using the plurality of samples to be detected at different times, obtaining a plurality of quality control values, judging the detection process of each item to be detected of the detecting instrument to be normal based on the plurality of quality control values, automatically detecting the detection process of each item to be detected of the detecting instrument, obtaining the reliability values of the extracted items to be detected by using the plurality of quality control values, obtaining the reliability values of the extracted items to be detected under a plurality of detection times by using the plurality of quality control values, obtaining the reliability values of the best-fit curve, obtaining the reliability of the best-fit curve in the best-fit curve, and performing the best-fit curve-fit calibration on the best-value, and performing the best-fit curve-fit calculation on the best-fit curve, and obtaining the reliability-fit-based on the best-measure-value by using the best-measure-calculated value, based on the detection condition and the time to be detected, after confirming the adjustment of the optimal calibration period according to the detection condition and the pre-constructed pre-construction condition, the update of the optimal calibration period is obtained based on the detection condition, and the calibration of the detection instrument is carried out under the time to be detected and the update of the optimal calibration period according to the update of the optimal calibration period and the negative upper and lower thresholds. Therefore, the method, the device, the electronic equipment and the computer readable storage medium for calibrating quantitative results based on the genetic metabolic diseases provided by the invention are mainly used for automatically monitoring the detection process of each item to be detected of the detection instrument and completing the periodic quantitative result calibration of the detection instrument according to the detection conditions.
Example 2:
FIG. 3 is a functional block diagram of a calibration device for quantitative results based on metabolic diseases according to an embodiment of the present invention.
The calibration device 100 based on the quantitative result of the genetic metabolic disease can be installed in an electronic device. Depending on the functions implemented, the calibration device 100 based on quantitative results of genetic metabolic diseases may include a process confirmation module 101 for items to be detected, a minimum reliability value acquisition module 102, an optimal calibration period acquisition module 103, and an automatic calibration module 104 for detecting instruments. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The to-be-detected project process confirmation module 101 is configured to obtain a plurality of detection times of a pre-constructed detection instrument, sequentially extract detection times from the plurality of detection times, and perform the following operations on all the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
Extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
the minimum reliability value obtaining module 102 is configured to aggregate reliability values of the extracted items to be detected under a plurality of detection times, obtain a reliability value set, obtain a minimum reliability value based on the reliability value set, and obtain negative upper and lower thresholds of the extracted items to be detected based on the minimum reliability value;
the best calibration period obtaining module 103 is configured to aggregate minimum reliability values of each to-be-detected item in the plurality of to-be-detected items in the plurality of detection times, obtain a minimum reliability value set, obtain a weibull model fitting curve based on the minimum reliability value set, and obtain a best calibration period of the detecting instrument by using a pre-built best calibration period calculation formula and the weibull model fitting curve, where the best calibration period calculation formula is:
Wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
the automatic calibration module 104 of the detecting instrument is configured to obtain a detection condition and a time to be detected based on the detecting instrument, obtain an updated optimal calibration period based on the detection condition after confirming and adjusting the optimal calibration period according to the detection condition and a pre-constructed pre-configured condition, confirm to calibrate the detecting instrument under the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and a negative upper and lower threshold value, and complete the periodic quantitative result calibration of the detecting instrument.
In detail, the modules in the quantitative result calibration device based on inherited metabolic disease 100 according to the embodiment of the present invention use the same technical means as the quantitative result calibration method based on inherited metabolic disease described in fig. 1, and can produce the same technical effects, which are not described herein.
Example 3:
fig. 4 is a schematic structural diagram of an electronic device for implementing a method for calibrating quantitative results based on genetic metabolic diseases according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a calibration program based on quantitative results of inherited metabolic diseases.
The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may in other embodiments also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only for storing application software installed in the electronic device 1 and various types of data, such as codes of calibration programs based on quantitative results of genetic metabolic diseases, but also for temporarily storing data that has been output or is to be output.
The processor 10 may be comprised of integrated circuits in some embodiments, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects the respective components of the entire electronic device using various interfaces and lines, executes programs or modules stored in the memory 11 (for example, calibration programs based on quantitative results of genetic metabolic diseases, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device 1 and process data.
The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
Fig. 4 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 4 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to each component, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 1 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
Further, the electronic device 1 may also comprise a network interface, optionally the network interface may comprise a wired interface and/or a wireless interface (e.g. WI-FI interface, bluetooth interface, etc.), typically used for establishing a communication connection between the electronic device 1 and other electronic devices.
The electronic device 1 may optionally further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device 1 and for displaying a visual user interface.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The calibration program stored in the memory 11 of the electronic device 1 based on quantitative results of inherited metabolic diseases is a combination of instructions which, when executed in the processor 10, can implement:
acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the plurality of detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
Extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
summarizing the minimum reliability values of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the optimal calibration period of the detection instrument by utilizing a pre-built optimal calibration period calculation formula and the Weibull model fitting curve, wherein the optimal calibration period calculation formula is as follows:
Wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
and after confirming and adjusting the optimal calibration period according to the detection conditions and the pre-constructed pre-construction conditions, acquiring and updating the optimal calibration period based on the detection conditions, confirming and calibrating the detection instrument according to the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the upper and lower negative thresholds, and completing the periodic quantitative result calibration of the detection instrument.
Specifically, the specific implementation method of the above instructions by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 3, which are not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the plurality of detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
Summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
summarizing the minimum reliability values of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the optimal calibration period of the detection instrument by utilizing a pre-built optimal calibration period calculation formula and the Weibull model fitting curve, wherein the optimal calibration period calculation formula is as follows:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
and after confirming and adjusting the optimal calibration period according to the detection conditions and the pre-constructed pre-construction conditions, acquiring and updating the optimal calibration period based on the detection conditions, confirming and calibrating the detection instrument according to the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the upper and lower negative thresholds, and completing the periodic quantitative result calibration of the detection instrument.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. A method for calibrating quantitative results based on genetic metabolic diseases, the method comprising:
acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the plurality of detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
Summarizing the minimum reliability values of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the optimal calibration period of the detection instrument by utilizing a pre-built optimal calibration period calculation formula and the Weibull model fitting curve, wherein the optimal calibration period calculation formula is as follows:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
and after confirming and adjusting the optimal calibration period according to the detection conditions and the pre-constructed pre-construction conditions, acquiring and updating the optimal calibration period based on the detection conditions, confirming and calibrating the detection instrument according to the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the upper and lower negative thresholds, and completing the periodic quantitative result calibration of the detection instrument.
2. The method for calibrating quantitative results based on genetic metabolic diseases according to claim 1, wherein the obtaining the upper and lower numerical limits of the extracted items to be detected using the plurality of quality control values comprises:
Acquiring the average value of a plurality of quality control values according to the plurality of quality control values, and obtaining a first sample average value;
acquiring a plurality of abnormal-free values and a plurality of interstitial assessment values according to the extracted items to be detected, and acquiring an abnormal-free sample mean value and an interstitial sample mean value based on the abnormal-free values and the interstitial assessment values;
and acquiring a quality control sample mean value by using the first sample mean value, the abnormal-free sample mean value and the inter-chamber sample mean value, and acquiring the upper and lower numerical limits of the extracted to-be-detected items based on the quality control sample mean value.
3. The method for calibrating quantitative results based on genetic metabolic diseases according to claim 1, wherein after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and a plurality of quality control values, comprising:
sequentially extracting quality control values from the plurality of quality control values, and acquiring quality control points corresponding to the extracted quality control values based on the extracted quality control values and samples to be detected corresponding to the extracted quality control values to obtain a plurality of quality control points;
sequentially extracting quality control points from the plurality of quality control points, and executing the following operations on the extracted quality control points:
judging whether the detection process of the extracted item to be detected is normal or not based on the extracted quality control point and upper and lower numerical limits, wherein the upper and lower numerical limits comprise: an upper numerical limit and a lower numerical limit;
If the quality control value corresponding to the extracted quality control point is larger than the upper limit of the value or the quality control value corresponding to the quality control point is smaller than the lower limit of the value, prompting that the detection process of the item to be detected corresponding to the extracted quality control point is abnormal, and obtaining an abnormal detection result;
if the quality control value corresponding to the extracted quality control point is smaller than the upper limit of the value and larger than the lower limit of the value, confirming that the detection process of the item to be detected corresponding to the extracted quality control point is normal, and obtaining a normal detection result;
and summarizing the abnormal detection result or the normal detection result to obtain a detection result set, and if the detection result sets are all normal detection results, confirming that the detection process of the extracted item to be detected is normal based on the detection result set.
4. The method for calibrating quantitative result based on genetic metabolic disease according to claim 1, wherein the obtaining the reliability value of the extracted item to be detected using the plurality of quality control values comprises:
calculating a reliability value according to a first sample mean value of the quality control values and a pre-constructed measurement reliability expression, wherein the measurement reliability expression is:
wherein R (t) represents the reliability value of the extracted item to be detected, x m A first sample mean value representing the plurality of quality control values, delta representing a preset maximum allowable uncertainty, U 95 Confidence probability representing preset expanded uncertainty, and U 95 ＝95％。
5. The method for calibrating quantitative results based on genetic metabolic diseases according to claim 1, wherein after confirming the adjustment of the optimal calibration period according to the detection conditions and the pre-constructed conditions, the method comprises:
acquiring detection conditions of each item to be detected in a plurality of items to be detected based on the items to be detected of the detection instrument, wherein the detection conditions comprise instrument parts of the detection instrument, detection reagents and detection environments;
judging whether to use the optimal calibration period or not based on detection conditions corresponding to each item to be detected and pre-constructed conditions pre-constructed for each item to be detected;
if the detection conditions are consistent with the pre-configuration conditions, confirming that the detection instrument is calibrated in the optimal calibration period;
if the detection condition is inconsistent with the pre-configuration condition, confirming to adjust the optimal calibration period.
6. The method for calibrating quantitative results based on genetic metabolic diseases according to claim 1, wherein the obtaining of updated optimal calibration period based on detection conditions comprises:
Acquiring a second quality control product based on the time to be detected, and acquiring a plurality of second samples to be detected according to the second quality control product;
acquiring a second minimum reliability value set of a second quality control product in the plurality of items to be detected by using the second sample to be detected and the plurality of items to be detected;
and calculating an updated optimal calibration period of the detection instrument based on the optimal calibration period calculation formula, the minimum reliability value set and the second minimum reliability value set.
7. The method according to any one of claims 1 to 6, wherein the step of performing calibration on the test instrument at the time to be tested and the updated optimal calibration period according to the updated optimal calibration period and the updated negative upper and lower thresholds to complete the periodic quantitative result calibration of the test instrument comprises:
acquiring a negative detection mean value of each item to be detected in the plurality of items to be detected based on the upper and lower negative threshold values of each item to be detected in the plurality of items to be detected, and acquiring a plurality of negative detection mean values;
acquiring a plurality of second quality control values of the second quality control product under the time to be detected based on the second quality control product, and acquiring a second negative detection mean value of each item to be detected in the plurality of items to be detected based on the second quality control values and the plurality of items to be detected, so as to acquire a plurality of second negative detection mean values;
Calculating and obtaining a mean shift value of each second negative detection mean value in the second negative detection mean values by using a pre-constructed mean shift value calculation formula, the second negative detection mean values and the second negative detection mean values, wherein the mean shift value calculation formula is as follows:
wherein N is i % represents the mean shift value of the ith item in the plurality of items to be detected, E i Representing the second negative detection mean value, X of the ith item in a plurality of items to be detected i Representing the negative detection mean value of the ith item in a plurality of items to be detected;
comparing the average value deviation value of each item to be detected with the preset deviation value threshold value;
when the mean value deviation value is smaller than the deviation value threshold value, the extracted items to be detected in the detection instrument are confirmed to be normally used;
when the mean value deviation value is larger than the deviation value threshold value, confirming that the extracted items to be detected in the detecting instrument need to be calibrated, acquiring a modified negative threshold value and a modified software calibration coefficient by using a pre-constructed calibration formula, a negative upper and lower threshold value and a second negative upper and lower threshold value, and completing automatic period calibration of the detecting instrument under the time to be detected;
and acquiring an updated negative threshold value and an updated software calibration coefficient under the updated optimal calibration period based on the updated optimal calibration period, and completing automatic period calibration of the detecting instrument under the updated optimal period based on the updated negative threshold value and the updated software calibration coefficient.
8. A quantitative result calibration device based on a genetic metabolic disease, the device comprising:
the to-be-detected project process confirming module is used for acquiring a plurality of detection times of a pre-constructed detection instrument, sequentially extracting the detection times from the detection times, and executing the following operations on the extracted detection times:
acquiring a quality control product for detection, acquiring a plurality of samples to be detected and a plurality of items to be detected based on the quality control product, sequentially extracting the items to be detected from the plurality of items to be detected, and executing the following operations on the extracted items to be detected:
extracting a sample to be detected from the plurality of samples to be detected, acquiring quality control values of the extracted sample to be detected under the extracted item to be detected based on the extracted sample to be detected, obtaining a plurality of quality control values, acquiring upper and lower numerical limits of the extracted item to be detected by using the plurality of quality control values, and acquiring reliability values of the extracted item to be detected by using the plurality of quality control values after confirming that the detection process of the extracted item to be detected is normal based on the upper and lower numerical limits and the plurality of quality control values;
the minimum reliability value acquisition module is used for summarizing the reliability values of the extracted items to be detected under a plurality of detection times to obtain a reliability value set, acquiring a minimum reliability value based on the reliability value set, and acquiring a negative upper threshold and a negative lower threshold of the extracted items to be detected based on the minimum reliability value;
The best calibration period acquisition module is used for summarizing the minimum reliability value of each item to be detected in a plurality of items to be detected in a plurality of detection times to obtain a minimum reliability value set, acquiring a Weibull model fitting curve based on the minimum reliability value set, and acquiring the best calibration period of the detection instrument by utilizing a pre-built best calibration period calculation formula and the Weibull model fitting curve, wherein the best calibration period calculation formula is as follows:
wherein t represents the optimal calibration period of the detecting instrument, eta and beta respectively represent the scale parameter and the shape parameter of the Weibull model fitting curve corresponding to the detecting instrument, R 0 R is a correction coefficient of a reliability value * Is a preset reliability numerical index, P f The false positive rate is the reliability value;
the automatic calibration module of the detecting instrument is used for acquiring the detecting conditions and the time to be detected based on the detecting instrument, acquiring the updated optimal calibration period based on the detecting conditions after confirming and adjusting the optimal calibration period according to the detecting conditions and the pre-constructed pre-construction conditions, confirming to calibrate the detecting instrument under the time to be detected and the updated optimal calibration period according to the updated optimal calibration period and the negative upper and lower thresholds, and completing the periodic quantitative result calibration of the detecting instrument.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of quantitative result calibration based on a genetic metabolic disease according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the quantitative result calibration method based on inherited metabolic disease according to any one of claims 1 to 7.
CN202311371488.4A 2023-10-20 2023-10-20 Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease Pending CN117594213A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311371488.4A CN117594213A (en) 2023-10-20 2023-10-20 Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311371488.4A CN117594213A (en) 2023-10-20 2023-10-20 Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease

Publications (1)

Publication Number Publication Date
CN117594213A true CN117594213A (en) 2024-02-23

Family

ID=89908860

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311371488.4A Pending CN117594213A (en) 2023-10-20 2023-10-20 Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease

Country Status (1)

Country Link
CN (1) CN117594213A (en)

Similar Documents

Publication Publication Date Title
US20220035356A1 (en) Equipment failure diagnosis support system and equipment failure diagnosis support method
CN114047472B (en) Metering error monitoring system of intelligent ammeter and monitoring method and device thereof
CN112383891A (en) Equipment registration method and device based on object model automatic matching
CN111486956A (en) Abnormal body temperature screening method and device, computer equipment and storage medium
CN115728445A (en) Sensor calibration method, device, equipment and computer readable storage medium
CN112182067A (en) Individual height prediction method and device, electronic equipment and storage medium
CN115048613A (en) Index homogenization conversion method and device, electronic equipment and storage medium
CN105488331A (en) Data processing method and device
CN114608678A (en) Water meter calibration method and device based on pulse method
JP2015172951A (en) System and method for obtaining statistically valid analysis average value and analysis range of quality control substance
US20150084767A1 (en) Detector with integrated sensor platform
CN110261792A (en) DC power supply detection method, device, test terminal and readable storage medium storing program for executing
US8333876B2 (en) Ion concentration measurement system and methods thereof
CN117594213A (en) Quantitative result calibration method, device, equipment and medium based on genetic metabolic disease
CN112578270A (en) Test method and device for automatic calibration of reference voltage, storage medium and terminal
US10973467B2 (en) Method and system for automated diagnostics of none-infectious illnesses
EP4310701A1 (en) Homogenization conversion method and apparatus for detection of same index by different devices, and electronic device
CN113921128B (en) Automatic medical detection data software auditing method and electronic equipment
CN111427874B (en) Quality control method and device for medical data production and electronic equipment
CN110967446B (en) Parameter targeting method and device, storage medium and electronic equipment
CN117314205B (en) Method and device for reporting detection results of compartment interstitial evaluation items
CN112834752A (en) Blood glucose standardized measurement system, method, terminal and medium suitable for large-batch crowd
CN114885231B (en) Communication protocol self-adaptive signal acquisition method, system, terminal and medium
CN115062273B (en) Photoelectric sensor precision control method and system for industrial internet
US20240087057A1 (en) Power consumption monitoring device and method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination