CN116884598A - Cardiovascular and cerebrovascular disease screening auxiliary system based on metadata - Google Patents
Cardiovascular and cerebrovascular disease screening auxiliary system based on metadata Download PDFInfo
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- 238000012216 screening Methods 0.000 title claims abstract description 86
- 208000024172 Cardiovascular disease Diseases 0.000 title claims abstract description 65
- 208000026106 cerebrovascular disease Diseases 0.000 title claims abstract description 65
- 230000002526 effect on cardiovascular system Effects 0.000 title claims abstract description 65
- 238000001514 detection method Methods 0.000 claims abstract description 62
- 201000010099 disease Diseases 0.000 claims abstract description 50
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 50
- 238000004458 analytical method Methods 0.000 claims description 88
- 230000009467 reduction Effects 0.000 claims description 40
- 208000024891 symptom Diseases 0.000 claims description 29
- 230000002441 reversible effect Effects 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 4
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- 230000007704 transition Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 2
- 238000011897 real-time detection Methods 0.000 description 6
- 208000031226 Hyperlipidaemia Diseases 0.000 description 2
- 206010020772 Hypertension Diseases 0.000 description 2
- 230000008859 change Effects 0.000 description 2
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a cardiovascular and cerebrovascular disease screening auxiliary system based on metadata, which relates to the technical field of disease screening auxiliary, and solves the technical problems that in the prior art, index screening cannot be carried out on patients during cardiovascular and cerebrovascular disease screening, so that the disease screening is inaccurate; the accuracy of disease screening is improved through index screening of patients with cardiovascular and cerebrovascular diseases, and screening deviation caused by inaccuracy of disease screening indexes is avoided; and (3) performing index detection early warning on the current detected patient, and performing cardiovascular and cerebrovascular diseases early warning on the detected patient through the index detection early warning, so that the screening accuracy of the detected patient is improved.
Description
Technical Field
The invention relates to the technical field of disease screening assistance, in particular to a cardiovascular and cerebrovascular disease screening assistance system based on metadata.
Background
Cardiovascular and cerebrovascular diseases are collectively referred to as cardiovascular and cerebrovascular diseases. Also known as "three highs" of "rich and expensive diseases". 40% -45% of the elderly over 60 years old suffer from hypertension and hyperglycemia or hyperlipidemia, and about 50% of the diabetics are combined with various senile diseases such as hypertension and hyperlipidemia according to data. The cardiovascular and cerebrovascular diseases have the characteristics of high morbidity, high disability rate, high mortality rate, high recurrence rate and more complications, namely four-high-one-more.
However, in the prior art, index screening cannot be performed on patients during cardiovascular and cerebrovascular disease screening, so that disease screening is inaccurate, meanwhile, index analysis after screening cannot be performed, so that influence changes of corresponding types of diseases cannot be monitored in real time, so that a treatment scheme cannot be timely adjusted, early warning cannot be performed on detected patients according to index analysis, and in addition, whether the patients are in a reversible stage or not cannot be determined according to disease screening, so that treatment efficiency of the patients is low.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a cardiovascular and cerebrovascular disease screening auxiliary system based on metadata.
The aim of the invention can be achieved by the following technical scheme:
a cardiovascular and cerebrovascular disease screening auxiliary system based on metadata comprises a server, wherein the server is in communication connection with a disease index screening unit, an index detection early warning unit, a control efficiency detection unit and a symptom detection early warning unit;
the disease index screening unit is used for screening indexes of patients with cardiovascular and cerebrovascular diseases, marking the patients with cardiovascular and cerebrovascular diseases as analysis objects, marking body indexes corresponding to the analysis objects as indexes to be screened, setting a sign i, wherein i is a natural number larger than 1, acquiring screening coefficients of the indexes to be screened corresponding to the analysis objects, dividing the indexes to be screened into high-influence indexes and low-influence indexes according to the screening coefficients, and sending the high-influence indexes and the low-influence indexes to the server together; the index detection early warning unit is used for carrying out index detection early warning on the currently detected patient and carrying out early warning on the currently detected patient according to low-influence index analysis and high-influence index analysis;
the control efficiency detection unit is used for detecting the control efficiency of a detected patient for setting a treatment scheme, marking the detected patient as a patient to be determined after the detected patient sets the treatment scheme for the first time, marking the execution period of the set treatment scheme as an analysis period, and controlling the treatment scheme to be adjusted according to the index of the patient to be determined in the analysis period; the symptom detection and early warning unit is used for carrying out symptom detection and early warning on the determined patient.
As a preferred embodiment of the present invention, the disease index screening unit operates as follows:
acquiring the numerical value floating span of the index to be screened of the analysis object in the period before and after the illness, and shortening the frequency of the numerical value difference corresponding to the same index to be screened in the period before and after the illness of the analysis object; acquiring the number increase amount of the index value to be screened in the period before and after the illness of the analysis object, which is not in the normal threshold range of the corresponding index; obtaining a screening coefficient of an analysis object corresponding to an index to be screened through analysis; comparing the screening coefficient of the analysis object corresponding to the index to be screened with a screening coefficient threshold value:
if the screening coefficient of the analysis object corresponding to the index to be screened exceeds the screening coefficient threshold value, judging that the current index to be screened floats greatly in the period before and after the disease of the analysis object, and marking the current index to be screened as a high influence index; if the screening coefficient of the analysis object corresponding to the index to be screened does not exceed the screening coefficient threshold value, the current index to be screened is judged to float less in the period before and after the disease of the analysis object, and the current index to be screened is marked as a low influence index.
As a preferred implementation mode of the invention, the operation process of the index detection early warning unit is as follows:
analyzing the low-impact index, obtaining the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index, and comparing the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index with a peak increment threshold and a period time threshold respectively.
As a preferred embodiment of the invention, if the peak increment of the numerical float of the corresponding low impact index of the current type cardiovascular and cerebrovascular diseases exceeds the peak increment threshold, or the period duration of the transition from the corresponding low impact index to the high impact index does not exceed the period duration threshold, judging that the impact of the current type cardiovascular and cerebrovascular diseases is increased, marking the corresponding type cardiovascular and cerebrovascular diseases as an aggravated impact type, and sending the aggravated impact type to a server;
if the peak increment of the numerical floating of the low impact index corresponding to the current type cardiovascular and cerebrovascular diseases does not exceed the peak increment threshold, and the period time for converting the low impact index into the high impact index exceeds the period time threshold, judging that the impact of the current type cardiovascular and cerebrovascular diseases is normal, marking the corresponding type cardiovascular and cerebrovascular diseases as stable impact types, and sending the stable impact types to a server.
As a preferred embodiment of the invention, the high impact index analysis is performed to obtain the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value of the real-time detection patient and the reduction of the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index after the control is performed to the high impact index, and the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value of the real-time detection patient and the reduction of the frequency of floating in the range of the non-qualified threshold value corresponding to the control are respectively compared with the threshold value of the floating frequency and the threshold value of the reduction of the frequency.
As a preferred implementation mode of the invention, if the frequency of the floating in the range of the non-qualified threshold value corresponding to the high impact index value of the patient exceeds the floating frequency threshold value or the reduction of the floating frequency in the range of the non-qualified threshold value corresponding to the high impact index value does not exceed the frequency reduction threshold value after the control of the high impact index is carried out, generating a disease early warning signal and sending the disease early warning signal and the cardiovascular and cerebrovascular disease type corresponding to the high impact index to a server together;
if the floating frequency in the range of the unqualified threshold value corresponding to the high-impact index value of the patient detected in real time does not exceed the floating frequency threshold value, and the reduction of the floating frequency in the range of the unqualified threshold value corresponding to the high-impact index value exceeds the frequency reduction threshold value after the control is carried out, judging that the risk of the patient detected in real time is low, generating a continuous monitoring signal and sending the continuous monitoring signal to the server.
As a preferred embodiment of the present invention, the control efficiency detecting unit operates as follows:
the method comprises the steps of obtaining a floating span control quantity to be determined to have a corresponding high influence index after a treatment scheme in an analysis period is executed and a duration total duty ratio of the high influence index in the analysis period controlled to a set qualified threshold range, and comparing the floating span control quantity with a floating span control quantity threshold and a duration total duty ratio threshold respectively:
if the floating span control quantity of the corresponding high influence index of the patient to be determined after the treatment scheme in the analysis period is executed exceeds a floating span control quantity threshold value, and the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold value range exceeds the total duration duty ratio threshold value, judging that the control efficiency in the analysis period is qualified, setting a reversible period of the corresponding patient to be determined, adjusting the treatment scheme according to the real-time patient index in the reversible period, and the treatment scheme adjusting trend is the dosage or the dosage frequency reducing trend;
if the floating span control quantity of the corresponding high influence index is not exceeded by the floating span control quantity threshold after the treatment scheme is executed in the analysis period, or the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold range is not exceeded by the total duration duty ratio threshold, judging that the control efficiency in the analysis period is unqualified, marking the corresponding to-be-determined patient as a determined patient, setting the treatment period of the determined patient, adjusting the treatment scheme according to the real-time patient index in the treatment period, adjusting the treatment scheme trend in the index controllable period, and adjusting the increase trend in the index uncontrollable period.
As a preferred embodiment of the present invention, the symptom detection and early warning unit operates as follows:
the numerical floatable amount for determining the moving step interval of the patient in the treatment period and the maximum moving amplitude average reduction of the patient in the treatment period are obtained and compared with a numerical floatable amount threshold and an amplitude average reduction threshold respectively:
if the numerical floatable amount of the moving step interval of the patient in the treatment period is determined to exceed the numerical floatable amount threshold, and the maximum moving amplitude average reduction of the patient in the treatment period is determined to not exceed the amplitude average reduction threshold, judging that the symptom of the patient is determined to be qualified, generating a treatment scheme effective signal and sending the treatment scheme effective signal to a server; if it is determined that the patient's moving step interval value floatable amount does not exceed the value floatable amount threshold in the treatment period, or that the patient's maximum moving amplitude average reduction exceeds the amplitude average reduction threshold in the treatment period, then it is determined that the patient's symptom is not qualified for detection, a treatment plan inefficiency signal is generated, and the treatment plan inefficiency signal is sent to a server.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, index screening is carried out on patients with cardiovascular and cerebrovascular diseases, the accuracy of disease screening is improved by the index screening of the patients with cardiovascular and cerebrovascular diseases, and screening deviation caused by inaccuracy of the disease screening index is avoided; performing index detection early warning on the current detected patient, performing cardiovascular and cerebrovascular diseases early warning on the detected patient through the index detection early warning, improving screening accuracy of the detected patient, and facilitating timely prevention and treatment of the patient; meanwhile, the influence of the corresponding cardiovascular and cerebrovascular diseases is monitored in real time through index change analysis, so that the high efficiency of treating the corresponding type of diseases is improved.
2. According to the invention, the control efficiency detection is carried out on the detected patient with the set treatment scheme, whether the current detected patient can be subjected to the current treatment scheme or not is judged according to the control efficiency detection, and meanwhile, whether the current period is the disease reversible period of the patient or not can be accurately judged, so that the treatment efficiency of the patient is improved, and meanwhile, the accuracy of the medical history record of the patient is improved; and (3) performing symptom detection early warning on the determined patient, judging whether the symptom detection of the determined patient is qualified in the treatment period, so that the determined patient is subjected to symptom early warning, and the current treatment scheme is replaced while targeted treatment is performed in time.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a cardiovascular and cerebrovascular disease screening auxiliary system based on metadata includes a server, wherein the server is in communication connection with a disease index screening unit, an index detection early warning unit, a control efficiency detection unit and a symptom detection early warning unit, and the server is in two-way communication connection with the disease index screening unit, the index detection early warning unit, the control efficiency detection unit and the symptom detection early warning unit;
the server generates a disease index screening signal and sends the disease index screening signal to the disease index screening unit, and after the disease index screening unit receives the disease index screening signal, the disease index screening unit screens the cardiovascular and cerebrovascular disease patients, and the accuracy of disease screening is improved through the index screening of the cardiovascular and cerebrovascular disease patients, so that screening deviation caused by inaccuracy of the disease screening index is avoided;
marking a patient with cardiovascular and cerebrovascular diseases as an analysis object, marking a physical index corresponding to the analysis object as an index to be screened, setting a sign i, wherein i is a natural number larger than 1, acquiring a numerical floating span of the index to be screened in a period before and after the disease of the analysis object and a shortening frequency of a numerical difference corresponding to the same index to be screened in a period before and after the disease of the analysis object, and marking the numerical floating span of the index to be screened in the period before and after the disease of the analysis object and the shortening frequency of the numerical difference corresponding to the same index to be screened in the period before and after the disease of the analysis object as SZF i and SDPi respectively; acquiring the number of times increment that the value of the index to be screened is not in the normal threshold range of the corresponding index in the period before and after the illness of the analysis object, and marking the number of times increment that the value of the index to be screened is not in the normal threshold range of the corresponding index in the period before and after the illness of the analysis object as CSZ i;
by the formulaObtaining a screening coefficient Xi of an analysis object corresponding to an index to be screened, wherein f1, f2 and f3 are preset proportional coefficients, f1 is more than f2 and more than f3 is more than 0, beta is an error correction factor, and the value is 0.984;
comparing the screening coefficient Xi of the analysis object corresponding to the index to be screened with a screening coefficient threshold value:
if the screening coefficient X i of the index to be screened corresponding to the analysis object exceeds the screening coefficient threshold, judging that the current index to be screened floats greatly in the period before and after the disease of the analysis object, and marking the current index to be screened as a high influence index; if the screening coefficient Xi of the analysis object corresponding to the index to be screened does not exceed the screening coefficient threshold value, judging that the current index to be screened floats little in the period before and after the disease of the analysis object, and marking the current index to be screened as a low influence index;
transmitting the high impact index and the low impact index to a server together;
after the server receives the index detection early warning signal, the index detection early warning signal is generated and sent to the index detection early warning unit, the index detection early warning unit carries out index detection early warning on the current detected patient after receiving the index detection early warning signal, and carries out cardiovascular and cerebrovascular disease early warning on the detected patient through the index detection early warning, so that the screening accuracy of the detected patient is improved, and the patient can be prevented and treated in time; meanwhile, the influence of the corresponding cardiovascular and cerebrovascular diseases is monitored in real time through index change analysis, so that the high efficiency of the treatment of the corresponding type of diseases is improved;
analyzing the low-impact index, obtaining the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index, and comparing the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index with a peak increment threshold and a period time threshold respectively:
if the peak increment of the numerical floating of the low impact index corresponding to the current type cardiovascular and cerebrovascular diseases exceeds a peak increment threshold, or the period duration of the transition from the low impact index to the high impact index does not exceed a period duration threshold, judging that the impact of the current type cardiovascular and cerebrovascular diseases is increased, marking the corresponding type cardiovascular and cerebrovascular diseases as an aggravating impact type, and sending the aggravating impact type to a server; if the peak increment of the numerical floating of the corresponding low-impact index of the current type cardiovascular and cerebrovascular diseases does not exceed the peak increment threshold, and the period duration of the transition from the corresponding low-impact index to the high-impact index exceeds the period duration threshold, judging that the impact of the current type cardiovascular and cerebrovascular diseases is normal, marking the corresponding type cardiovascular and cerebrovascular diseases as a stable impact type, and sending the stable impact type to a server; after the server receives the aggravated influence type and the stable influence type, adjusting a treatment mode aiming at the cardiovascular and cerebrovascular disease type;
analyzing the high impact index, acquiring the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value of the real-time detection patient and the reduction of the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value after the control is carried out on the high impact index, and comparing the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value of the real-time detection patient and the reduction of the frequency of floating in the range of the non-qualified threshold value corresponding to the high impact index value after the control with the threshold value of the floating frequency and the threshold value of the reduction of the frequency respectively:
if the frequency of floating in the range of the unqualified threshold value corresponding to the high impact index value of the patient detected in real time exceeds the floating frequency threshold value, or the reduction of the floating frequency in the range of the unqualified threshold value corresponding to the high impact index value is not exceeded the frequency reduction threshold value after the high impact index is controlled, judging that the patient detected in real time has a disease risk, generating a disease early warning signal and sending the disease early warning signal and the cardiovascular and cerebrovascular disease type corresponding to the high impact index to a server together; the server sets a treatment scheme for the patient detected in real time after receiving the treatment scheme;
if the floating frequency in the range of the unqualified threshold value corresponding to the high impact index value of the real-time detection patient does not exceed the floating frequency threshold value, and the reduction of the floating frequency in the range of the unqualified threshold value corresponding to the high impact index value exceeds the frequency reduction threshold value after the control is carried out, judging that the risk of the real-time detection patient is low, generating a continuous monitoring signal and sending the continuous monitoring signal to a server;
the server generates a control efficiency detection signal and sends the control efficiency detection signal to the control efficiency detection unit, the control efficiency detection unit detects the control efficiency of a detected patient with a set treatment scheme after receiving the control efficiency detection signal, judges whether the current detected patient can be subjected to the current treatment scheme according to the control efficiency detection, can accurately judge whether the current period is a disease reversible period of the patient, improves the treatment efficiency of the patient and improves the accuracy of the medical history record of the patient;
after the first treatment plan setting of the detected patient is carried out, the detected patient is marked as a patient to be determined, the set treatment plan execution time period is marked as an analysis time period, the floating span control quantity of the corresponding high influence index of the patient to be determined after the treatment plan execution in the analysis time period and the total duration ratio of the high influence index in the analysis time period to the set qualified threshold range are obtained, and the floating span control quantity of the corresponding high influence index of the patient to be determined after the treatment plan execution in the analysis time period and the total duration ratio of the high influence index in the analysis time period to the set qualified threshold range are respectively compared with a floating span control quantity threshold and a total duration ratio threshold:
if the floating span control quantity of the corresponding high influence index of the patient to be determined after the treatment scheme in the analysis period is executed exceeds a floating span control quantity threshold value, and the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold value range exceeds the total duration duty ratio threshold value, judging that the control efficiency in the analysis period is qualified, setting a reversible period of the corresponding patient to be determined, adjusting the treatment scheme according to the real-time patient index in the reversible period, and the treatment scheme adjusting trend is the dosage or the dosage frequency reducing trend;
if the floating span control quantity of the corresponding high influence index is not exceeded by the floating span control quantity threshold after the treatment scheme is executed in the analysis period, or the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold range is not exceeded by the total duration duty ratio threshold, judging that the control efficiency in the analysis period is unqualified, marking the corresponding to-be-determined patient as a determined patient, setting the treatment period of the determined patient, adjusting the treatment scheme according to the real-time patient index in the treatment period, adjusting the treatment scheme trend in the index controllable period, and adjusting the increase trend in the index uncontrollable period;
the server generates a symptom detection early warning signal and sends the symptom detection early warning signal to the symptom detection early warning unit, the symptom detection early warning unit carries out symptom detection early warning on the determined patient after receiving the symptom detection early warning signal, and judges whether the symptom detection of the determined patient is qualified in a treatment period, so that the determined patient carries out symptom early warning, and the current treatment scheme is replaced while targeted treatment is carried out in time;
obtaining the numerical floatable amount of the determined moving step interval of the patient in the treatment period and the average reduction amount of the maximum moving amplitude of the patient in the treatment period, and comparing the numerical floatable amount of the determined moving step interval of the patient in the treatment period and the average reduction amount of the maximum moving amplitude of the patient in the treatment period with a threshold value of the numerical floatable amount and a threshold value of the average reduction amount of the amplitude respectively:
if the numerical floatable amount of the moving step interval of the patient in the treatment period is determined to exceed the numerical floatable amount threshold, and the maximum moving amplitude average reduction of the patient in the treatment period is determined to not exceed the amplitude average reduction threshold, judging that the symptom of the patient is determined to be qualified, generating a treatment scheme effective signal and sending the treatment scheme effective signal to a server; if it is determined that the numerical floatable amount of the moving step interval of the patient in the treatment period does not exceed the numerical floatable amount threshold, or it is determined that the average reduction of the maximum moving amplitude of the patient in the treatment period exceeds the average reduction of the amplitude threshold, it is determined that the symptom of the patient is not qualified in detection, a treatment scheme inefficiency signal is generated and sent to a server, and after the treatment scheme inefficiency signal is received by the server, the treatment scheme is changed for the corresponding patient, and the treatment scheme is adjusted to a mobile rehabilitation scheme.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the system is used, index screening is carried out on patients with cardiovascular and cerebrovascular diseases through a disease index screening unit, the patients with cardiovascular and cerebrovascular diseases are marked as analysis objects, body indexes corresponding to the analysis objects are marked as indexes to be screened, screening coefficients corresponding to the indexes to be screened of the analysis objects are obtained, the indexes to be screened are divided into high-influence indexes and low-influence indexes according to the screening coefficients, and the high-influence indexes and the low-influence indexes are sent to a server together; performing index detection early warning on the currently detected patient through an index detection early warning unit, and performing early warning on the currently detected patient according to low-impact index analysis and high-impact index analysis; the control efficiency detection unit is used for detecting the control efficiency of a detected patient with a set treatment scheme, the detected patient is marked as a patient to be determined after the detected patient sets the treatment scheme for the first time, the execution period of the set treatment scheme is marked as an analysis period, and the treatment scheme is regulated according to the index control of the patient to be determined in the analysis period; and carrying out symptom detection and early warning on the determined patient through a symptom detection and early warning unit.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The cardiovascular and cerebrovascular disease screening auxiliary system based on the metadata is characterized by comprising a server, wherein the server is connected with a disease index screening unit, an index detection early warning unit, a control efficiency detection unit and a symptom detection early warning unit in a communication way;
the disease index screening unit is used for screening indexes of patients with cardiovascular and cerebrovascular diseases, marking the patients with cardiovascular and cerebrovascular diseases as analysis objects, marking body indexes corresponding to the analysis objects as indexes to be screened, setting a sign i, wherein i is a natural number larger than 1, acquiring screening coefficients of the indexes to be screened corresponding to the analysis objects, dividing the indexes to be screened into high-influence indexes and low-influence indexes according to the screening coefficients, and sending the high-influence indexes and the low-influence indexes to the server together; the index detection early warning unit is used for carrying out index detection early warning on the currently detected patient and carrying out early warning on the currently detected patient according to low-influence index analysis and high-influence index analysis;
the control efficiency detection unit is used for detecting the control efficiency of a detected patient for setting a treatment scheme, marking the detected patient as a patient to be determined after the detected patient sets the treatment scheme for the first time, marking the execution period of the set treatment scheme as an analysis period, and controlling the treatment scheme to be adjusted according to the index of the patient to be determined in the analysis period; the symptom detection and early warning unit is used for carrying out symptom detection and early warning on the determined patient.
2. The system for assisting in screening cardiovascular and cerebrovascular diseases based on metadata according to claim 1, wherein the disease index screening unit operates as follows:
acquiring the numerical value floating span of the index to be screened of the analysis object in the period before and after the illness, and shortening the frequency of the numerical value difference corresponding to the same index to be screened in the period before and after the illness of the analysis object; acquiring the number increase amount of the index value to be screened in the period before and after the illness of the analysis object, which is not in the normal threshold range of the corresponding index; obtaining a screening coefficient of an analysis object corresponding to an index to be screened through analysis; comparing the screening coefficient of the analysis object corresponding to the index to be screened with a screening coefficient threshold value:
if the screening coefficient of the analysis object corresponding to the index to be screened exceeds the screening coefficient threshold value, judging that the current index to be screened floats greatly in the period before and after the disease of the analysis object, and marking the current index to be screened as a high influence index; if the screening coefficient of the analysis object corresponding to the index to be screened does not exceed the screening coefficient threshold value, the current index to be screened is judged to float less in the period before and after the disease of the analysis object, and the current index to be screened is marked as a low influence index.
3. The auxiliary system for screening cardiovascular and cerebrovascular diseases based on metadata as claimed in claim 1, wherein the operation process of the index detection and early warning unit is as follows:
analyzing the low-impact index, obtaining the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index, and comparing the peak increment of the low-impact index value corresponding to the current cardiovascular and cerebrovascular disease patient and the period time for converting the low-impact index into the high-impact index with a peak increment threshold and a period time threshold respectively.
4. The metadata-based cardiovascular and cerebrovascular disease screening auxiliary system according to claim 3, wherein if the peak increment of the current type cardiovascular and cerebrovascular disease patient corresponding to the low impact index value floating exceeds a peak increment threshold, or the period duration of the transition from the low impact index to the high impact index does not exceed a period duration threshold, determining that the impact of the current type cardiovascular and cerebrovascular disease is increased, marking the corresponding type cardiovascular and cerebrovascular disease as an aggravating impact type, and transmitting the aggravating impact type to the server;
if the peak increment of the numerical floating of the low impact index corresponding to the current type cardiovascular and cerebrovascular diseases does not exceed the peak increment threshold, and the period time for converting the low impact index into the high impact index exceeds the period time threshold, judging that the impact of the current type cardiovascular and cerebrovascular diseases is normal, marking the corresponding type cardiovascular and cerebrovascular diseases as stable impact types, and sending the stable impact types to a server.
5. The metadata-based cardiovascular and cerebrovascular disease screening auxiliary system according to claim 4, wherein the high impact index analysis is performed to obtain the frequency of the floating in the non-qualified threshold range corresponding to the high impact index value of the real-time detected patient and the reduction of the floating frequency in the non-qualified threshold range corresponding to the high impact index value after the control is performed, and the frequency of the floating in the non-qualified threshold range corresponding to the high impact index value of the real-time detected patient and the reduction of the floating frequency in the non-qualified threshold range corresponding to the high impact index value after the control are compared with the floating frequency threshold and the frequency reduction threshold respectively.
6. The metadata-based cardiovascular and cerebrovascular disease screening auxiliary system according to claim 5, wherein if the frequency of floating in the non-qualified threshold range of the numerical value of the high impact index corresponding to the patient detected in real time exceeds the floating frequency threshold, or the reduction of the floating frequency in the non-qualified threshold range of the high impact index corresponding to the controlled high impact index does not exceed the frequency reduction threshold, generating a disease early warning signal and transmitting the disease early warning signal and the cardiovascular and cerebrovascular disease type corresponding to the high impact index to the server together;
if the floating frequency in the range of the unqualified threshold value corresponding to the high-impact index value of the patient detected in real time does not exceed the floating frequency threshold value, and the reduction of the floating frequency in the range of the unqualified threshold value corresponding to the high-impact index value exceeds the frequency reduction threshold value after the control is carried out, judging that the risk of the patient detected in real time is low, generating a continuous monitoring signal and sending the continuous monitoring signal to the server.
7. The system for assisting in screening cardiovascular and cerebrovascular diseases based on metadata according to claim 1, wherein the control efficiency detecting unit operates as follows:
the method comprises the steps of obtaining a floating span control quantity to be determined to have a corresponding high influence index after a treatment scheme in an analysis period is executed and a duration total duty ratio of the high influence index in the analysis period controlled to a set qualified threshold range, and comparing the floating span control quantity with a floating span control quantity threshold and a duration total duty ratio threshold respectively:
if the floating span control quantity of the corresponding high influence index of the patient to be determined after the treatment scheme in the analysis period is executed exceeds a floating span control quantity threshold value, and the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold value range exceeds the total duration duty ratio threshold value, judging that the control efficiency in the analysis period is qualified, setting a reversible period of the corresponding patient to be determined, adjusting the treatment scheme according to the real-time patient index in the reversible period, and the treatment scheme adjusting trend is the dosage or the dosage frequency reducing trend;
if the floating span control quantity of the corresponding high influence index is not exceeded by the floating span control quantity threshold after the treatment scheme is executed in the analysis period, or the total duration duty ratio of the high influence index in the analysis period to the preset qualified threshold range is not exceeded by the total duration duty ratio threshold, judging that the control efficiency in the analysis period is unqualified, marking the corresponding to-be-determined patient as a determined patient, setting the treatment period of the determined patient, adjusting the treatment scheme according to the real-time patient index in the treatment period, adjusting the treatment scheme trend in the index controllable period, and adjusting the increase trend in the index uncontrollable period.
8. The system for assisting in screening cardiovascular and cerebrovascular diseases based on metadata according to claim 1, wherein the symptom detection and early warning unit operates as follows:
the numerical floatable amount for determining the moving step interval of the patient in the treatment period and the maximum moving amplitude average reduction of the patient in the treatment period are obtained and compared with a numerical floatable amount threshold and an amplitude average reduction threshold respectively:
if the numerical floatable amount of the moving step interval of the patient in the treatment period is determined to exceed the numerical floatable amount threshold, and the maximum moving amplitude average reduction of the patient in the treatment period is determined to not exceed the amplitude average reduction threshold, judging that the symptom of the patient is determined to be qualified, generating a treatment scheme effective signal and sending the treatment scheme effective signal to a server; if it is determined that the patient's moving step interval value floatable amount does not exceed the value floatable amount threshold in the treatment period, or that the patient's maximum moving amplitude average reduction exceeds the amplitude average reduction threshold in the treatment period, then it is determined that the patient's symptom is not qualified for detection, a treatment plan inefficiency signal is generated, and the treatment plan inefficiency signal is sent to a server.
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