CN113380406B - Disease risk intelligent evaluation method and device - Google Patents
Disease risk intelligent evaluation method and device Download PDFInfo
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- CN113380406B CN113380406B CN202110464380.4A CN202110464380A CN113380406B CN 113380406 B CN113380406 B CN 113380406B CN 202110464380 A CN202110464380 A CN 202110464380A CN 113380406 B CN113380406 B CN 113380406B
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- 201000010099 disease Diseases 0.000 title claims abstract description 36
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 36
- 238000011156 evaluation Methods 0.000 title claims description 39
- 208000017667 Chronic Disease Diseases 0.000 claims abstract description 115
- 238000011835 investigation Methods 0.000 claims abstract description 79
- 230000002068 genetic effect Effects 0.000 claims abstract description 45
- 238000012502 risk assessment Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000001514 detection method Methods 0.000 claims description 13
- 108090000623 proteins and genes Proteins 0.000 claims description 12
- 230000000153 supplemental effect Effects 0.000 claims description 10
- 239000013598 vector Substances 0.000 claims description 3
- 230000036541 health Effects 0.000 description 4
- 238000005259 measurement Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 230000005180 public health Effects 0.000 description 2
- 230000000391 smoking effect Effects 0.000 description 2
- 208000007848 Alcoholism Diseases 0.000 description 1
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 1
- 201000007930 alcohol dependence Diseases 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 208000029078 coronary artery disease Diseases 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 235000006694 eating habits Nutrition 0.000 description 1
- 239000008103 glucose Substances 0.000 description 1
- 230000035876 healing Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 230000002265 prevention Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
The invention provides a disease risk intelligent assessment method and device, wherein the method comprises the following steps: receiving basic data input by a user, wherein the basic data comprises: a family genetic history, a survey factor provided according to the family genetic history; receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history; and receiving a supplementary investigation factor result, and evaluating the chronic disease risk according to the investigation factor result and the supplementary investigation factor result. The questionnaire information amount filled in by the user is reduced, and the accuracy of chronic disease risk assessment is improved.
Description
Technical Field
The invention belongs to the technical field of public health and health, and particularly relates to an intelligent disease risk assessment method and device.
Background
The chronic diseases have the characteristics of hidden disease, long latency period, incapability of self-healing after disease onset, difficult healing and the like, and are the main public health problems affecting human health at present. However, chronic diseases are also a disease that can be effectively prevented and controlled. Related studies have shown that, among the causes of significant reduction in mortality from coronary heart disease, diabetes, etc., more than about half of the causes are due to reduction in risk factors, particularly reduction in smoking rate and cholesterol levels. Therefore, common chronic disease risk factor measurement and risk grade method research are carried out, and further risk factor intervention measures are formulated in a targeted manner, so that the method has important significance for effective prevention and treatment of chronic diseases.
In the chronic disease risk assessment process, personal health information is often required to be obtained through physical examination or questionnaires and other modes, and chronic disease risk is assessed according to the personal health information. However, current physical examination or questionnaires are designed for a single disease, which is prone to other chronic disease assessment errors. If physical examination and questionnaires are designed for all chronic diseases, a large amount of physical examination and questionnaire information may be required, so that patients are not willing to actively cooperate, which affects the accuracy of chronic disease risk assessment.
Disclosure of Invention
In view of the above, the present invention aims to provide an intelligent disease risk assessment method and device, so as to solve the technical problem of low assessment accuracy in the chronic disease risk assessment method in the prior art.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
In one aspect, an embodiment of the present invention provides a method for intelligently evaluating disease risk, including:
Receiving basic data input by a user, wherein the basic data comprises: a family genetic history, a survey factor provided according to the family genetic history;
Receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history;
And receiving a supplementary investigation factor result, and evaluating the chronic disease risk according to the investigation factor result and the supplementary investigation factor result.
Further, the generating the supplementary survey factor according to the survey factor result includes:
determining at least one chronic disease that differs from the family genetic history based on the outcome of a survey factor in non-prevalent ones of the survey factors;
Generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
Further, the evaluating the risk of chronic diseases according to the investigation factors and the supplementary investigation factors comprises:
Generating a space point according to the investigation factors, and generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point;
Generating a space point according to the supplementary investigation factors, and generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point.
Further, the chronic disease risk concentration point includes: the risk concentration points of early, middle and high-onset chronic diseases.
Still further, the method further comprises:
acquiring a gene locus detection result corresponding to the chronic disease when the distance between the space point and the middle-stage chronic disease risk concentration point meets a preset distance threshold;
and generating an evaluation result disease risk intelligent evaluation device according to the gene locus detection result.
On the other hand, the embodiment of the invention also provides an intelligent disease risk assessment device, which comprises:
The receiving module is used for receiving basic data input by a user, and the basic data comprises: a family genetic history, a survey factor provided according to the family genetic history;
The generation module is used for receiving survey factor results filled in by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history;
and the evaluation module is used for receiving the supplementary investigation factor result and evaluating the chronic disease risk according to the investigation factor result and the supplementary investigation factor result.
Further, the generating module includes:
A determining unit for determining at least one chronic disease different from the family genetic history based on a result of a investigation factor among non-prevalent factors among the investigation factors;
A generation unit for generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
Further, the evaluation module includes:
the space point generating unit is used for generating space points according to the investigation factors and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point;
and the evaluation result generation unit is used for generating space points according to the supplementary investigation factors and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point.
Further, the chronic disease risk concentration point includes: the risk concentration points of early, middle and high-onset chronic diseases.
Still further, the apparatus further comprises:
the acquisition module is used for acquiring a gene locus detection result corresponding to the chronic disease when the distance between the space point and the middle-stage chronic disease risk concentration point meets a preset distance threshold;
And the generating module is used for generating an evaluation result according to the gene locus detection result.
Compared with the prior art, the disease risk intelligent evaluation method and device provided by the invention have the following advantages:
The intelligent disease risk assessment method and device provided by the invention are characterized in that basic data input by a user are received, wherein the basic data comprise: a family genetic history, providing factor investigation factors based on the family genetic history; receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history; and evaluating the risk of the chronic diseases according to the investigation factors and the supplementary investigation factors. The possible other chronic disease risks can be deduced according to the preliminary investigation factor results, and representative investigation information of other chronic disease risks is selected for users to fill in, so that the chronic disease with higher risk is determined, and corresponding evaluation results are generated. The questionnaire information amount filled in by the user is reduced, and the accuracy of chronic disease risk assessment is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
fig. 1 is a flow chart of an intelligent disease risk assessment method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent disease risk assessment device according to a second embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.
The invention will be described in detail below with reference to the drawings in connection with embodiments.
Example 1
The first embodiment of the invention provides an intelligent disease risk assessment method which is suitable for a scene of intelligent assessment of disease, in particular chronic disease risk. And can be realized by an intelligent disease risk assessment device. Fig. 1 is a flow chart of a disease risk intelligent assessment method according to an embodiment of the present invention, referring to fig. 1, the disease risk intelligent assessment method may include:
S110, receiving basic data input by a user, wherein the basic data comprises: a family genetic history, factors investigation factors being provided based on the family genetic history.
Disease risk assessment questionnaires (models) are the primary tools for chronic disease risk measurement and assessment. The disease risk assessment model may include objective measures such as height, weight, body mass index, blood pressure, blood glucose, etc., and subjective measures such as pain, mental stress, physical activity, etc., which may not be directly measured. The accuracy and precision of the index measurement and the disease model directly affect the reliability and authenticity of the disease risk assessment result.
In this embodiment, two cases are included, one in which the user does not know that he has a high risk of chronic diseases, and the other in which it is known that there is a high risk of specifying the type of chronic diseases. Therefore, in the present embodiment, only the user is first required to fill in the basic data. To reduce the amount of data filled by the user. Illustratively, the base data may include: family genetic history, and investigational factors provided in accordance with the family genetic history. Or investigation factors related to chronic diseases provided by the user. Such as: investigation factors such as eating habits, smoking, alcoholism, occupation, height, weight, etc.
S120, receiving survey factor results filled in by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic history.
Illustratively, a survey factor result returned by the user is received. The investigation factor result may be a qualitative or quantitative result. And generating supplementary investigation factors according to the returned investigation factor results. It may be judged from the survey factor results that it is at risk for possible other chronic diseases. Relevant investigation factors of chronic diseases with high potential risks are determined.
Illustratively, the generating the supplementary survey factor according to the survey factor result may include: determining at least one chronic disease that differs from the family genetic history based on the outcome of a survey factor in non-prevalent ones of the survey factors; generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
And S130, receiving a supplementary investigation factor result, and evaluating the chronic disease risk according to the investigation factor result and the supplementary investigation factor result.
After the supplementary investigation factor results filled in by the user are obtained, the chronic disease risk can be evaluated according to the investigation factor results and the supplementary investigation factor results.
Generally, according to various preset chronic disease evaluation models, the investigation factor results and the supplementary investigation factor results can be converted into corresponding quantification and substituted into each chronic disease evaluation model, so as to obtain the evaluation result of chronic disease risk. However, the above-described method requires separate evaluation for each chronic disease, and a large deviation in evaluation results occurs due to the missing part of data.
In this embodiment, the evaluating the chronic disease risk according to the investigation factor and the supplementary investigation factor may include: generating a space point according to the investigation factors, and generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point; generating a space point according to the supplementary investigation factors, and generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point.
Illustratively, the preset chronic disease risk concentration point may include: the risk concentration points of early, middle and high-onset chronic diseases. And converting various investigation factor results into corresponding numerical values in a quantitative mode, converting the numerical values into corresponding positions, and determining the risk of the chronic diseases through geometric relations. For example, a multi-dimensional coordinate system may be generated according to all investigation factors of chronic disease risk, and each numerical value in the investigation factor result is used as the coordinate value of each dimension. And generating corresponding points, and generating an evaluation result according to the distances between the corresponding points and the preset initial, middle and high-stage chronic disease risk concentration points. The high risk, the medium risk and the low risk can be correspondingly set according to a preset distance threshold.
Alternatively, in this embodiment, all chronic diseases may be placed in the same coordinate system, and the numerical value corresponding to the investigation factor result is used as the coordinate value of each dimension. When the partial vector is missing, the distance may be calculated only according to the existing dimensional coordinate value. The data can be input once to obtain the evaluation results of various chronic disease risks.
The embodiment of the invention receives basic data input by a user, wherein the basic data comprises: a family genetic history, providing factor investigation factors based on the family genetic history; receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history; and evaluating the risk of the chronic diseases according to the investigation factors and the supplementary investigation factors. The possible other chronic disease risks can be deduced according to the preliminary investigation factor results, and representative investigation information of other chronic disease risks is selected for users to fill in, so that the chronic disease with higher risk is determined, and corresponding evaluation results are generated. The questionnaire information amount filled in by the user is reduced, and the accuracy of chronic disease risk assessment is improved.
In a preferred implementation manner of the present embodiment, the method may further include the step of obtaining a genetic locus detection result corresponding to the chronic disease when the distance between the spatial point and the mid-stage chronic disease risk concentration point meets a preset distance threshold; and generating an evaluation result according to the gene locus detection result. The gene point location can be used for targeted detection, so that the accuracy of intelligent disease risk assessment is further improved.
Example two
Fig. 2 is a schematic structural diagram of an intelligent disease risk assessment device provided in a second embodiment of the present invention, referring to fig. 2, the intelligent disease risk assessment device includes:
The receiving module 210 is configured to receive basic data input by a user, where the basic data includes: a family genetic history, a survey factor provided according to the family genetic history;
A generating module 220, configured to receive a survey factor result filled in by a user, and generate a supplementary survey factor according to the survey factor result, where the supplementary survey factor corresponds to at least one chronic disease different from the family genetic medical history;
the evaluation module 230 is configured to receive the supplemental survey factor result, and evaluate the chronic disease risk according to the survey factor result and the supplemental survey factor result.
The intelligent disease risk assessment device provided by the embodiment of the invention receives basic data input by a user, wherein the basic data comprises: a family genetic history, providing factor investigation factors based on the family genetic history; receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history; and evaluating the risk of the chronic diseases according to the investigation factors and the supplementary investigation factors. The possible other chronic disease risks can be deduced according to the preliminary investigation factor results, and representative investigation information of other chronic disease risks is selected for users to fill in, so that the chronic disease with higher risk is determined, and corresponding evaluation results are generated. The questionnaire information amount filled in by the user is reduced, and the accuracy of chronic disease risk assessment is improved.
On the basis of the above embodiment, the generating module includes:
A determining unit for determining at least one chronic disease different from the family genetic history based on a result of a investigation factor among non-prevalent factors among the investigation factors;
A generation unit for generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
On the basis of the above embodiment, the evaluation module includes:
the space point generating unit is used for generating space points according to the investigation factors and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point;
and the evaluation result generation unit is used for generating space points according to the supplementary investigation factors and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point.
On the basis of the above embodiment, the chronic disease risk concentration point includes: the risk concentration points of early, middle and high-onset chronic diseases.
On the basis of the above embodiment, the apparatus further includes:
the acquisition module is used for acquiring a gene locus detection result corresponding to the chronic disease when the distance between the space point and the middle-stage chronic disease risk concentration point meets a preset distance threshold;
And the generating module is used for generating an evaluation result according to the gene locus detection result.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (8)
1. A method for intelligently assessing disease risk, the method comprising:
Receiving basic data input by a user, wherein the basic data comprises: a family genetic history, a survey factor provided according to the family genetic history;
Receiving survey factor results filled by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history;
receiving a supplementary investigation factor result, and evaluating chronic disease risks according to the investigation factor result and the supplementary investigation factor result;
the assessment of chronic disease risk based on the survey factors and supplemental survey factors includes:
Generating a space point according to the investigation factors, and generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point; generating space points according to the supplementary investigation factors, and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point; the generating the space point according to the investigation factors comprises the following steps: generating a multidimensional coordinate system according to all investigation factors of chronic disease risk, and generating corresponding space points according to each item of numerical value in investigation factor results as coordinate values of each dimension; all chronic diseases are placed in the same coordinate system, the numerical value corresponding to the investigation factor result is used as the coordinate value of each dimension, and when partial vectors are missing, the distance is calculated only according to the existing dimensional coordinate value.
2. The method of intelligent disease risk assessment according to claim 1, wherein the generating supplemental survey factors from the survey factor results comprises:
determining at least one chronic disease that differs from the family genetic history based on the outcome of a survey factor in non-prevalent ones of the survey factors;
Generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
3. The method of claim 1, wherein the chronic disease risk concentration point comprises: the risk concentration points of early, middle and high-onset chronic diseases.
4. A method of intelligently assessing risk of a disease according to claim 3, further comprising:
acquiring a gene locus detection result corresponding to the chronic disease when the distance between the space point and the middle-stage chronic disease risk concentration point meets a preset distance threshold;
and generating an evaluation result according to the gene locus detection result.
5. An intelligent disease risk assessment device, the device comprising:
The receiving module is used for receiving basic data input by a user, and the basic data comprises: a family genetic history, a survey factor provided according to the family genetic history;
The generation module is used for receiving survey factor results filled in by a user, and generating supplementary survey factors according to the survey factor results, wherein the supplementary survey factors correspond to at least one chronic disease different from the family genetic medical history;
The evaluation module is used for receiving the supplementary investigation factor result and evaluating the chronic disease risk according to the investigation factor result and the supplementary investigation factor result;
The evaluation module comprises:
the space point generating unit is used for generating space points according to the investigation factors and generating an evaluation result according to the distance between the space points and a preset chronic disease risk concentration point;
The evaluation result generation unit is used for generating a space point according to the supplementary investigation factors, generating an evaluation result according to the distance between the space point and a preset chronic disease risk concentration point, and generating the space point according to the investigation factors, and comprises the following steps: generating a multidimensional coordinate system according to all investigation factors of chronic disease risk, and generating corresponding space points according to each item of numerical value in investigation factor results as coordinate values of each dimension; all chronic diseases are placed in the same coordinate system, the numerical value corresponding to the investigation factor result is used as the coordinate value of each dimension, and when part of vectors are missing, the distance can be calculated only according to the existing dimensional coordinate value.
6. The intelligent disease risk assessment device of claim 5, wherein the generation module comprises:
A determining unit for determining at least one chronic disease different from the family genetic history based on a result of a investigation factor among non-prevalent factors among the investigation factors;
A generation unit for generating supplemental survey factors based on the at least one chronic disease other than the family genetic history.
7. The disease risk intelligent assessment device of claim 6, wherein the chronic disease risk concentration point comprises: the risk concentration points of early, middle and high-onset chronic diseases.
8. The intelligent disease risk assessment device of claim 7, wherein the device further comprises:
the acquisition module is used for acquiring a gene locus detection result corresponding to the chronic disease when the distance between the space point and the middle-stage chronic disease risk concentration point meets a preset distance threshold;
And the generating module is used for generating an evaluation result according to the gene locus detection result.
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