CN113450906A - Clinical detection and diagnosis system and clinical detection and diagnosis method - Google Patents
Clinical detection and diagnosis system and clinical detection and diagnosis method Download PDFInfo
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Abstract
The invention provides a clinical detection and diagnosis system and a clinical detection and diagnosis method, wherein the clinical detection and diagnosis system compares a detection value with a comparison level, and a processing unit obtains one of normal or abnormal; comparing the detection value with historical detection data, and obtaining one of no variation and variation by the processing unit; the judgment result output by the detection value output unit is one of a combination of normal and non-variation, a combination of normal and variation, a combination of abnormal and non-variation and a combination of abnormal and variation, so that the output result can be changed from single judgment into a plurality of composite judgments to obtain better comparison and judgment of the detection value.
Description
Technical Field
The present invention relates to a clinical test diagnosis system and a clinical test diagnosis method, and more particularly, to a clinical test diagnosis system and a clinical test diagnosis method for clinical diagnosis.
Background
Currently, the detection data obtained from clinical diagnosis is judged according to the normal reference value range of each examination. The normal reference value range is determined based on biometrics, and the examination results measured for normal samples are accumulated, the average value and standard deviation value thereof are calculated, and then the reference range value for each examination is determined.
The detected data has clinical diagnosis significance no matter whether the detected data is lower than the reference range value or higher than the reference range value, but the detected data is only used for simply judging whether the detected data is in the normal reference value range or not, and a single description of the detected result data is obtained.
Therefore, there is a need to design a new clinical testing and diagnosing system and method to overcome the above-mentioned drawbacks.
Disclosure of Invention
The invention aims to provide a clinical detection and diagnosis system and a clinical detection and diagnosis method, which can change a single judgment into a plurality of composite judgments so as to obtain better comparison and judgment of detection values.
In order to achieve the above object, the present invention provides a clinical test diagnosis system, comprising: a detection value acquisition unit that acquires a detection value; a storage unit for storing the comparison level and the historical detection data; the processing unit is used for comparing and judging the detection value with the comparison level and the historical detection data respectively; and a detection value output unit for outputting a judgment result; wherein, comparing the detection value with the comparison level, the processing unit obtains one of normal or abnormal; comparing the detection value with the historical detection data, and obtaining one of no variation and variation by the processing unit; the detection value output unit outputs the judgment result which is one of the combination of the normal and the non-variation, the combination of the normal and the variation, the combination of the abnormality and the non-variation and the combination of the abnormality and the variation.
Preferably, when the detection value is within the range of the comparison level, the output of the detection value output unit is normal; when the detection value is out of the range of the comparison level, the detection value output unit outputs abnormity; when the detection value is compared with the historical detection data and has no change, the detection value output unit outputs no change; when the detection value is changed compared with the historical detection data, the output of the detection value output unit has variation.
Preferably, the detection value is set to be consistent with the comparison level as a first value, the detection value is set to be inconsistent with the comparison level as a second value, the detection value is set to be consistent with the historical detection data as a third value, and the detection value is set to be inconsistent with the historical detection data as a fourth value; when the first value and the third value are output, the detection value is normal and has no variation; when the first value and the fourth value are output, the detection value is normal and has variation; when the second value and the third value are output, the detection value is abnormal and has no variation; when a second value and a fourth value are outputted, the detection value is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value.
Preferably, if the determination result includes a variation, the detection value having a variation compared with the historical detection data is preferentially processed.
Preferably, if the detection value is changed from the historical detection data and the detection value is out of the range of the comparison level, the output result output by the detection value output unit is abnormal in variation; if the detection value is changed compared with the historical detection data and the detection value is within the range of the comparison level, the output result output by the detection value output unit is normal in variation; if the detection value is compared with the historical detection data without change and the detection value is out of the range of the comparison level, the output result output by the detection value output unit is abnormal without variation; if the detection value is compared with the historical detection data without change and the detection value is within the range of the comparison level, the output result output by the detection value output unit is normal without variation; the treatment is carried out in the order of abnormal variation, normal variation, abnormal absence of variation and normal absence of variation.
The invention also provides a clinical detection and diagnosis method, which is characterized by comprising the following steps: acquiring a detection value; comparing the detection value with a comparison level to obtain one of normal or abnormal; comparing the detection value with historical detection data to obtain one of no variation and variation; and outputting the judgment result as one of normal variation, abnormal variation and abnormal variation.
Preferably, the clinical test diagnosis method further comprises the following steps: when the detection value is within the range of the comparison quasi-level, the output result is normal; when the detection value is out of the range of the comparison level, outputting an abnormal result; when the detection value is compared with the historical detection data and has no change, the output result is no variation; and when the detection value is changed compared with the historical detection data, outputting a variation result.
Preferably, the clinical test diagnosis method further comprises the following steps: setting the consistency of the detection value and the comparison level as a first value, setting the inconsistency of the detection value and the comparison level as a second value, setting the consistency of the detection value and the historical detection data as a third value, and setting the inconsistency of the detection value and the historical detection data as a fourth value; when the first value and the third value are output, the detection value is normal and has no variation; when the first value and the fourth value are output, the detection value is normal and has variation; when the second value and the third value are output, the detection value is abnormal and has no variation; and when outputting a second value and a fourth value, the detection value is abnormal and has variation, wherein the first value is equal to the third value and the second value is equal to the fourth value.
Preferably, the clinical test diagnosis method further comprises the following steps: if the judgment result contains variation, the detection value which is changed compared with the historical detection data is processed preferentially.
Preferably, the clinical test diagnosis method further comprises the following steps: if the detection value is changed compared with the historical detection data and the detection value is out of the comparison level range, outputting the judgment result that the variation is abnormal; if the detection value is changed compared with the historical detection data and the detection value is within the range of the comparison level, outputting the judgment result that the change is normal; if the detection value is compared with the historical detection data and has no change and the detection value is out of the range of the comparison level, the output judgment result is abnormal without variation; if the detection value is compared with the historical detection data and has no change and the detection value is within the range of the comparison level, the output judgment result is normal without variation; and processing according to the sequence of abnormal variation, normal variation, abnormal non-variation and normal non-variation.
Compared with the prior art, according to the clinical detection and diagnosis system and the clinical detection and diagnosis method provided by the embodiment of the invention, the detection values are respectively compared and judged with the plurality of reference judgment values out of sequence by the clinical detection and diagnosis system, the corresponding judgment results are obtained by comparing the detection values with the plurality of reference judgment values, the judgment results of the composite description are output, and the users corresponding to the detection values corresponding to the judgment results of the composite description are sequentially processed according to needs, so that the output results can be changed from single judgment into a plurality of composite judgments, and the detection values can be better compared and judged.
Drawings
FIG. 1 is a block diagram of a clinical diagnostic system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a clinical testing and diagnosis method according to an embodiment of the present invention
FIG. 3 is a flow chart illustrating a comparative diagnostic method of clinical testing according to an embodiment of the present invention;
FIG. 4 is a comparison and judgment chart of the clinical test diagnosis method according to another embodiment of the present invention.
Detailed Description
In order to further understand the objects, structures, features and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1, fig. 1 is a block diagram illustrating a clinical testing and diagnosing system according to an embodiment of the present invention. The clinical detection and diagnosis system 100 provided by the embodiment of the invention comprises a detection value acquisition unit 1, a storage unit 2, a processing unit 3 and a detection value output unit 4, wherein the detection value acquisition unit 1 acquires a detection value 11, the storage unit 2 stores a comparison level 21 and historical detection data 22, the processing unit 3 is used for comparing and judging the detection value 11 with the comparison level 21 and the historical detection data 22 respectively, the detection value output unit 4 is used for outputting a judgment result 41, the detection value 11 is compared with the comparison level 21, and the processing unit 3 obtains one of normal or abnormal; comparing the detection value 11 with the historical detection data 22, and obtaining one of no variation and variation by the processing unit 3; the determination result 41 output by the detection value output unit 4 is one of a combination of normal and non-variation, a combination of normal and variation, a combination of abnormal and non-variation, and a combination of abnormal and variation, so that a single determination of the output result is changed into a plurality of composite determinations to obtain a better comparison determination of the detection values, and the priority processing order is determined according to the output result.
Referring to fig. 1, in an implementation, the detection value input unit 1 is a detection data input end, and a user inputs a detected value 11 obtained by inspection into the detection data input end, for example: the user records the detected glycated hemoglobin value at the detection value input unit 1 for subsequent comparison with the comparison level 21 and the historical detection data 22 for determination. The comparison level 21 is the normal reference value of each examination, and the normal reference value is determined by calculating according to the principle of biometrics, and the range of the normal reference value of the examination is determined by calculating the average value and the standard deviation value of the examination result measured by accumulating the normal samples, and the method for obtaining the normal reference value is not limited thereto. The history detection data 22 is a database obtained by the personal history examination of the examination user, the history detection data 22 is used for judging the change between the detection value 11 detected by the user at the current time and the history detection data 22, and the obtaining mode of the history detection data 22 is not limited to this. The storage unit 2 may store the comparison level 21 and the historical detection data 22, and store the detection value 11 input by the detection value input unit 1, and may also store the determination result 41 output by the detection value output unit 4, which is not limited to this, depending on the actual situation. The memory unit 2 may be a memory or other data storage device, as the case may be. The processing unit 3 can be a processor or a controller with data operation/processing function for comparing and determining the detection value 11 with the comparison level 21 and the historical detection data 22, respectively, as the case may be. The detection value output unit 4 may display the determination result 41 for a screen or print the determination result 41 by a printing apparatus, as the case may be.
In the embodiment of the present invention, when the detection value 11 is within the range of the comparison level 21, the detection value output unit 4 outputs a normal value; when the detection value 11 is out of the range of the comparison level 21, the detection value output unit 4 outputs an abnormality; when the detection value 11 is compared with the historical detection data 22 without change, the detection value output unit 4 outputs no change; when the detection value 11 changes as compared with the history detection data 22, the detection value output unit 4 outputs a variation. Specifically, when the detection value 11 checked by the user is within the normal reference range, the user is determined to be normal; when the detection value 11 is out of the normal reference range, determining that the detection value is abnormal; the detection value 11 is compared with the personal historical detection data and is unchanged, and the detection value is judged to be unchanged; the detection value 11 changes compared with the personal historical detection data, and is judged to have variation
In the embodiment of the present invention, the detected value 11 is set to be the first value when the compared level 21 is consistent, the detected value 11 is set to be the second value when the compared level 12 is inconsistent, the detected value 11 is set to be the third value when the detected value 11 is consistent with the historical detected data 22, and the detected value 11 is set to be the fourth value when the detected value 11 is inconsistent with the historical detected data 22; when the first value and the third value are output, the detection value 11 is normal and has no variation; when the first value and the fourth value are output, the detection value 11 is normal and has variation; when the second value and the third value are output, the detection value 11 is abnormal and has no variation; when a second value and a fourth value are outputted, the detection value 11 is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value. In specific implementation, the detected value 11 is set to be consistent with the comparison level 21 as 0, the detected value 11 is set to be inconsistent with the comparison level 21 as 1, the detected value 11 is set to be consistent with the historical detection data 22 as 0, and the detected value 11 is set to be inconsistent with the historical detection data 22 as 1; when (0,0) is output, the detection value 11 is normal and has no variation; when (0,1) is output, the detection value 11 is normal and has variation; when (1, 0) is output, the detection value 11 is abnormal and has no variation; when (1,1) is outputted, the detection value 11 is abnormal and has a variation, which is not limited to this, depending on the actual situation.
In the embodiment of the present invention, if the determination result 41 includes a variation, the detection value 11 having a variation compared with the historical detection data 22 is preferentially processed. Specifically, when the result of the determination includes a variation, the user having the variation is treated preferentially.
In the embodiment of the present invention, if the detection value 11 is changed from the historical detection data 22 and the detection value 11 is out of the range of the comparison level 21, the detection value output unit 4 outputs the determination result 41 that there is abnormal variation; if the detected value 11 is changed from the historical detected data 22 and the detected value 11 is within the range of the comparison level 21, the detected value output unit 4 outputs a judgment result 41 that the change is normal; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is out of the range of the comparison level 21, the detected value output unit 4 outputs a judgment result 41 that no variation is abnormal; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is within the range of the comparison level 21, the judgment result 41 output by the detected value output unit 4 is normal without change; the treatment is carried out in the order of abnormal variation, normal variation, abnormal absence of variation and normal absence of variation. Specifically, the treatment is performed in the order of [ abnormal, variant ], [ normal, variant ], [ abnormal, non-variant ], and [ normal, non-variant ].
Referring to fig. 2, fig. 2 is a flowchart illustrating a clinical testing and diagnosis method according to an embodiment of the present invention. The clinical test diagnostic method 101 of fig. 2 is suitable for use in the clinical test diagnostic system 100. Referring to fig. 1 and 2 together, first, step S10 is executed to acquire detection value 11. Then, step S12 is executed to compare the detection value 11 with the comparison level 21 to obtain one of normal or abnormal, and compare the detection value 11 with the historical detection data 22 to obtain one of no variation and variation. Then, step S14 is executed to output the determination result 41 as one of normal, abnormal and non-abnormal variation.
Preferably, when the detection value 11 is within the range of the comparison level 21, the output is normal; when the detection value 11 is out of the range of the comparison level 21, outputting an abnormality; when the detection value 11 is compared with the historical detection data 22 without change, outputting no change; and a variance in the output when the detection value 11 changes as compared to the historical detection data 22.
Preferably, the detected value 11 is set to be the first value in accordance with the comparison level 21, the detected value 11 is set to be the second value in accordance with the comparison level 12, the detected value 11 is set to be the third value in accordance with the historical detection data 22, and the detected value 11 is set to be the fourth value in accordance with the historical detection data 22; when the first value and the third value are output, the detection value 11 is normal and has no variation; when the first value and the fourth value are output, the detection value 11 is normal and has variation; when the second value and the third value are output, the detection value 11 is abnormal and has no variation; when a second value and a fourth value are outputted, the detection value 11 is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value. In specific implementation, the detected value 11 is set to be consistent with the comparison level 21 as 0, the detected value 11 is set to be inconsistent with the comparison level 21 as 1, the detected value 11 is set to be consistent with the historical detection data 22 as 0, and the detected value 11 is set to be inconsistent with the historical detection data 22 as 1; when (0,0) is output, the detection value 11 is normal and has no variation; when (0,1) is output, the detection value 11 is normal and has variation; when (1, 0) is output, the detection value 11 is abnormal and has no variation; and when (1,1) is outputted, the detection value 11 is abnormal and has variation, which is determined by actual conditions and is not limited to the above.
Preferably, when the determination result 41 includes a mutation, the priority processing is performed on the detection value 11 that has been changed as compared with the historical detection data 22.
Preferably, if the detected value 11 is changed from the historical detected data 22 and the detected value 11 is out of the range of the comparison level 21, the output judgment result 41 is that there is abnormal variation; if the detected value 11 is changed from the historical detected data 22 and the detected value 11 is within the range of the comparison level 21, the output judgment result 41 is normal in variation; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is out of the range of the comparison level 21, the output judgment result 41 is no variation abnormality; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is within the range of the comparison level 21, the output judgment result 41 is normal without variation; and processing according to the sequence of abnormal variation, normal variation, abnormal non-variation and normal non-variation.
Referring to fig. 3, fig. 3 is a flowchart illustrating a comparison and determination method for clinical testing and diagnosis according to an embodiment of the present invention. The corresponding clinical test diagnostic method 102 of fig. 3 is applicable to the clinical test diagnostic system 100. Referring to fig. 1, 2, and 3 together, first, step S20 is executed to obtain a detection value 11; then, step S22 is executed to compare with the comparison level 21; if the detection value 11 is within the range of the comparison level 21, execute step S24 to compare with the historical detection data 22; if the detected value 11 is unchanged from the historical detection data 22, step S26 is executed, and the determination result 41 is output as [ normal, no variation ]; if the detected value 11 changes from the historical detection data 22, step S28 is executed, and the determination result 41 is output as [ normal, variant ]; if the detection value 11 is outside the range of the comparison level 21, go to step S30 to compare with the historical detection data 22; if the detected value 11 is unchanged from the historical detection data 22, step S32 is executed to output the determination result 41 as "abnormal, no variation"; if there is a change in the detection value 11 as compared with the history detection data 22, step S34 is executed to output the determination result 41 as [ abnormal, presence of variation ].
Preferably, when the determination result 41 includes a mutation, the priority processing is performed on the detection value 11 that has been changed as compared with the historical detection data 22.
Preferably, if the detected value 11 is changed from the historical detected data 22 and the detected value 11 is out of the range of the comparison level 21, the output judgment result 41 is that there is abnormal variation; if the detected value 11 is changed from the historical detected data 22 and the detected value 11 is within the range of the comparison level 21, the output judgment result 41 is normal in variation; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is out of the range of the comparison level 21, the output judgment result 41 is no variation abnormality; if the detected value 11 is compared with the historical detection data 22 without change and the detected value 11 is within the range of the comparison level 21, the output judgment result 41 is normal without variation; and processing according to the sequence of abnormal variation, normal variation, abnormal non-variation and normal non-variation.
Referring to fig. 4, fig. 4 is a comparison and judgment diagram of a clinical testing and diagnosis method according to another embodiment of the present invention. The clinical test diagnostic method 103 corresponding to fig. 4 is applicable to the clinical test diagnostic system 100. Referring to fig. 1 and 4 together, first, a detection value 11 is acquired; then, setting the detected value 11 and the comparison level 21 as a first value, setting the detected value 11 and the comparison level 12 as a second value, setting the detected value 11 and the historical detection data 22 as a third value, and setting the detected value 11 and the historical detection data 22 as a fourth value; when the first value and the third value are output, the detection value 11 is normal and has no variation; when the first value and the fourth value are output, the detection value 11 is normal and has variation; when the second value and the third value are output, the detection value 11 is abnormal and has no variation; when a second value and a fourth value are outputted, the detection value 11 is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value. Specifically, detection value 11 is set to be 0 in correspondence with comparison level 21, detection value 11 is set to be 1 in non-correspondence with comparison level 21, detection value 11 is set to be 0 in correspondence with historical detection data 22, and detection value 11 is set to be 1 in non-correspondence with historical detection data 22; then, the detection value 11 is analyzed and judged, and when (0,0) is output, the judgment result 41 of the detection value 11 is normal and has no variation; when (0,1) is output, the detection value 11 determines that the result 41 is normal and has variation; when (1, 0) is output, the detection value 11 determines that the result 41 is abnormal and has no variation; and when (1,1) is output, the detection value 11 judges that the result 41 is abnormal and has variation.
Preferably, when the determination result 41 contains a variation, the process is prioritized.
Preferably, the treatment is performed in the order of [ abnormal, variant ], [ normal, variant ], [ abnormal, non-variant ], and [ normal, non-variant ].
In summary, the clinical testing and diagnosing system and the clinical testing and diagnosing method provided by the present invention include a testing value obtaining unit, a storage unit, a processing unit and a testing value output unit, wherein the testing value obtaining unit obtains a testing value, the storage unit stores a comparison level and historical testing data, the processing unit is used for comparing and judging the testing value with the comparison level and the historical testing data, the testing value output unit is used for outputting a judgment result, comparing the testing value with the comparison level, and the processing unit obtains one of normal or abnormal; comparing the detection value with historical detection data, and obtaining one of no variation and variation by the processing unit; the detection value output unit outputs a judgment result which is one of a normal and non-variation combination, a normal and variation combination, an abnormal and non-variation combination and an abnormal and variation combination. In this way, the output result is changed from a single judgment to a plurality of composite judgments so that the detection value can be compared and judged better, and the priority processing order can be judged according to the output result.
Although the present invention has been described in connection with the accompanying drawings, the embodiments disclosed in the drawings are intended to be illustrative of preferred embodiments of the present invention and should not be construed as limiting the invention. The scale in the schematic drawings does not represent the scale of actual components for the sake of clarity in describing the required components.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (10)
1. A clinical test diagnostic system, comprising:
a detection value acquisition unit that acquires a detection value;
a storage unit for storing the comparison level and the historical detection data;
the processing unit is used for comparing and judging the detection value with the comparison level and the historical detection data respectively; and
a detection value output unit for outputting a judgment result;
wherein, comparing the detection value with the comparison level, the processing unit obtains one of normal or abnormal; comparing the detection value with the historical detection data, and obtaining one of no variation and variation by the processing unit; the detection value output unit outputs the judgment result which is one of a normal and non-variation combination, a normal and variation combination, an abnormal and non-variation combination and an abnormal and variation combination.
2. The clinical testing diagnostic system of claim 1, wherein the test value output unit outputs a normal value when the test value is within the range of the comparison level; when the detection value is out of the range of the comparison level, the detection value output unit outputs abnormity; when the detection value is compared with the historical detection data and has no change, the detection value output unit outputs no change; when the detection value is changed compared with the historical detection data, the output of the detection value output unit has variation.
3. The clinical testing diagnostic system of claim 2, wherein the detection value is set to a first value consistent with the comparison level, the detection value is set to a second value inconsistent with the comparison level, the detection value is set to a third value consistent with the historical testing data, and the detection value is set to a fourth value inconsistent with the historical testing data; when the first value and the third value are output, the detection value is normal and has no variation; when the first value and the fourth value are output, the detection value is normal and has variation; when the second value and the third value are output, the detection value is abnormal and has no variation; when a second value and a fourth value are outputted, the detection value is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value.
4. The clinical testing diagnostic system of claim 2, wherein if the determination result includes a variation, the testing value with a variation compared to the historical testing data is prioritized.
5. The clinical testing diagnostic system of claim 2, wherein if the detected value is changed from the historical detected data and the detected value is outside the range of the comparison level, the output result outputted by the detected value output unit is abnormal; if the detection value is changed compared with the historical detection data and the detection value is within the range of the comparison level, the output result output by the detection value output unit is normal in variation; if the detection value is compared with the historical detection data without change and the detection value is out of the range of the comparison level, the output result output by the detection value output unit is abnormal without variation; if the detection value is compared with the historical detection data without change and the detection value is within the range of the comparison level, the output result output by the detection value output unit is normal without variation; the treatment is carried out in the order of abnormal variation, normal variation, abnormal absence of variation and normal absence of variation.
6. A method for clinical diagnostic testing, comprising the steps of:
acquiring a detection value;
comparing the detection value with a comparison level to obtain one of normal or abnormal;
comparing the detection value with historical detection data to obtain one of no variation and variation; and
the output judgment result is one of normal variation, abnormal variation and abnormal variation.
7. The method of claim 6, further comprising the steps of:
when the detection value is within the range of the comparison quasi-level, the output result is normal;
when the detection value is out of the range of the comparison level, outputting an abnormal result;
when the detection value is compared with the historical detection data and has no change, the output result is no variation; and
when the detection value is changed compared with the historical detection data, the output result is changed.
8. The method of claim 6, further comprising the steps of:
setting the consistency of the detection value and the comparison level as a first value, setting the inconsistency of the detection value and the comparison level as a second value, setting the consistency of the detection value and the historical detection data as a third value, and setting the inconsistency of the detection value and the historical detection data as a fourth value;
when the first value and the third value are output, the detection value is normal and has no variation;
when the first value and the fourth value are output, the detection value is normal and has variation;
when the second value and the third value are output, the detection value is abnormal and has no variation; and
when a second value and a fourth value are outputted, the detection value is abnormal and has a variation, wherein the first value is equal to the third value and the second value is equal to the fourth value.
9. The method of claim 6, further comprising the steps of:
if the judgment result contains variation, the detection value which is changed compared with the historical detection data is processed preferentially.
10. The method of claim 6, further comprising the steps of:
if the detection value is changed compared with the historical detection data and the detection value is out of the comparison level range, outputting the judgment result that the variation is abnormal;
if the detection value is changed compared with the historical detection data and the detection value is within the range of the comparison level, outputting the judgment result that the change is normal;
if the detection value is compared with the historical detection data and has no change and the detection value is out of the range of the comparison level, the output judgment result is abnormal without variation;
if the detection value is compared with the historical detection data and has no change and the detection value is within the range of the comparison level, the output judgment result is normal without variation; and
the treatment is carried out in the order of abnormal variation, normal variation, abnormal absence of variation and normal absence of variation.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1688244A (en) * | 2002-08-13 | 2005-10-26 | 弗吉尼亚大学专利基金会 | Method, system, and computer program product for the processing of self-monitoring blood glucose(smbg)data to enhance diabetic self-management |
| CN103714235A (en) * | 2012-09-28 | 2014-04-09 | 富士胶片株式会社 | c |
| WO2014172671A1 (en) * | 2013-04-18 | 2014-10-23 | Digimarc Corporation | Physiologic data acquisition and analysis |
| US20160110523A1 (en) * | 2012-12-28 | 2016-04-21 | Revon Systems, Llc | Systems and methods for using electronic medical records in conjunction with patient apps |
| CN110742595A (en) * | 2019-11-12 | 2020-02-04 | 中润普达(十堰)大数据中心有限公司 | Abnormal blood pressure monitoring system based on cognitive cloud system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1688244A (en) * | 2002-08-13 | 2005-10-26 | 弗吉尼亚大学专利基金会 | Method, system, and computer program product for the processing of self-monitoring blood glucose(smbg)data to enhance diabetic self-management |
| CN103714235A (en) * | 2012-09-28 | 2014-04-09 | 富士胶片株式会社 | c |
| US20160110523A1 (en) * | 2012-12-28 | 2016-04-21 | Revon Systems, Llc | Systems and methods for using electronic medical records in conjunction with patient apps |
| WO2014172671A1 (en) * | 2013-04-18 | 2014-10-23 | Digimarc Corporation | Physiologic data acquisition and analysis |
| CN110742595A (en) * | 2019-11-12 | 2020-02-04 | 中润普达(十堰)大数据中心有限公司 | Abnormal blood pressure monitoring system based on cognitive cloud system |
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Application publication date: 20210928 |