CN111540472B - Intelligent risk assessment system and method for health activities - Google Patents
Intelligent risk assessment system and method for health activities Download PDFInfo
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- CN111540472B CN111540472B CN202010417338.2A CN202010417338A CN111540472B CN 111540472 B CN111540472 B CN 111540472B CN 202010417338 A CN202010417338 A CN 202010417338A CN 111540472 B CN111540472 B CN 111540472B
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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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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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Abstract
The invention discloses an intelligent risk assessment system for health activities and an assessment method thereof, which belong to the technical field of information, and particularly relate to an intelligent risk assessment system for health activities and an assessment method thereof.
Description
Technical Field
The invention relates to the technical field of information, in particular to an intelligent risk assessment system and an intelligent risk assessment method for health activities.
Background
The health activities can effectively improve the immunity and physical and mental health of people, along with the development of society, the requirements of people on the health activities are higher and higher, so that at present, the health activities are not clearly defined, so that some activities in a fuzzy state can be incorrectly defined, for example, the health activities in the fuzzy state are defined as unhealthy activities, the unhealthy activities in the fuzzy state are defined as healthy activities, and finally risk is easily caused.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above and/or problems with existing health activity risk assessment.
Therefore, an object of the present invention is to provide an intelligent risk assessment system and an assessment method thereof for health activities, which can assess the activities written in a fuzzy state, and then a user can judge whether the activities belong to health activities according to the assessment result, so as to reduce risk generation.
In order to solve the technical problems, according to one aspect of the present invention, the following technical solutions are provided:
the intelligent risk assessment system for health activities comprises a keyword retrieval unit, an information input unit, an information transmission unit, a control unit, a man-machine interaction unit, a driving unit, an information processing unit, an information comparison unit and an information storage unit, wherein the keyword retrieval unit, the information input unit, the information transmission unit, the control unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit are all arranged in the man-machine interaction unit, the man-machine interaction unit comprises a shell, a control panel and a control key, the control panel and the control key are arranged outside the shell, the control panel is connected with the control unit in an output mode, and the control unit is connected with the keyword retrieval unit, the information input unit, the information transmission unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit;
the information processing unit operates based on a fuzzy algorithm, an information comparison unit and an information storage unit, and the specific operation steps are as follows:
step one: retrieving the generated activity category in an information storage unit;
step two: when the health activity type is in a fuzzy state, fuzzy processing is carried out through the information processing unit;
step three: carrying out extreme comparison on the processed category information, namely comparing the category information in the category of healthy activities with the category of no healthy activities;
step four: and generating an evaluation value according to the comparison information for judgment of a user.
As a preferred embodiment of the intelligent risk assessment system for health activities according to the present invention, wherein: the keyword retrieval unit is operated based on a keyword extraction algorithm, the keyword retrieval unit is installed in the human-computer interaction unit, the control unit is connected with the keyword retrieval unit in a bidirectional mode, the information input unit is connected with the control unit in an output mode, the human-computer interaction unit is connected with the information input unit in an output mode, and the information input unit is operated based on the human-computer interaction unit.
As a preferred embodiment of the intelligent risk assessment system for health activities according to the present invention, wherein: the information transmission unit is a wireless network transmission unit, the information transmission unit is connected with the control unit in a bidirectional way, the driving unit is an electric driving system, the driving unit is connected with the control unit and a control panel and a control key on the man-machine interaction unit, and the driving unit is connected with the keyword retrieval unit, the information input unit, the information transmission unit, the information processing unit, the information comparison unit and the information storage unit through the control unit.
As a preferred embodiment of the intelligent risk assessment method for health activities according to the present invention, the method further comprises: the evaluation method is as follows:
step one: a control panel on the man-machine interaction unit selects an activity type;
step two: selecting keywords according to the keyword searching unit, and searching in the storage unit;
step three: selecting whether information processing is required according to the search information;
step four: performing risk assessment according to the generated processing information;
step five: the risk assessment information is output to the control panel for reference by the user.
As a preferred embodiment of the intelligent risk assessment method for health activities according to the present invention, the method further comprises: when the keywords are searched in the second step, the control unit is required to set the threshold value of the activity type in the storage unit, namely, the risk coefficient of the activity type is set, and the risk coefficient of the healthy activity is infinitely close to 0 in 0-5 grades, otherwise, is infinitely close to 5.
As a preferred embodiment of the intelligent risk assessment method for health activities according to the present invention, the method further comprises: the specific cases of the retrieval in the step three are as follows:
when the risk coefficient of the activity type in the storage unit is 0 or 5, the risk coefficient is directly output to the control panel for a user to check;
when the risk factor of the activity category in the storage unit is 2.5, or the activity category not existing in the storage unit, the specific processing steps are as follows:
step one: retrieving the generated activity category in an information storage unit;
step two: when the health activity type is in a fuzzy state, fuzzy processing is carried out through the information processing unit;
step three: carrying out extreme comparison on the processed category information, namely, comparing the category information in the category of the healthy activities with the category of the healthy activities;
step four: and generating an evaluation value according to the comparison information for judgment of a user.
Compared with the prior art: at present, the health activities are not clearly defined, so that some activities in a fuzzy state are wrongly defined, for example, the health activities in the fuzzy state are defined as unhealthy activities, the unhealthy activities in the fuzzy state are defined as healthy activities, and finally risk generation is easy to cause.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings, which are to be understood as merely some embodiments of the present invention, and from which other drawings can be obtained by those skilled in the art without inventive faculty. Wherein:
FIG. 1 is a schematic diagram of a system architecture of an intelligent risk assessment system and a method for assessing health activities according to the present invention;
fig. 2 is a schematic flow chart of an intelligent risk assessment system and an intelligent risk assessment method for health activities.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein the sectional view of the device structure is not partially enlarged to general scale for the convenience of description, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The invention provides an intelligent risk assessment system for health activities, referring to fig. 1, the system comprises a keyword retrieval unit, an information input unit, an information transmission unit, a control unit, a man-machine interaction unit, a driving unit, an information processing unit, an information comparison unit and an information storage unit, wherein the keyword retrieval unit, the information input unit, the information transmission unit, the control unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit are all arranged in the man-machine interaction unit, the man-machine interaction unit comprises a shell, a control panel and a control key, the control panel and the control key are arranged outside the shell, the control panel is connected with the control unit in output connection, and the control unit is connected with the keyword retrieval unit, the information input unit, the information transmission unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit.
The keyword searching unit is operated based on a keyword extraction algorithm, the keyword searching unit is installed in the human-computer interaction unit, the control unit is connected with the keyword searching unit in a bidirectional mode, the information input unit is connected with the control unit in an output mode, the human-computer interaction unit is connected with the information input unit in an output mode, and the information input unit is operated based on the human-computer interaction unit;
the keyword extraction is used for acquiring activity information, so that the activity risk value can be acquired by searching in the information storage unit, and the keyword extraction algorithm in the application document adopts a supervised extraction algorithm, so that the searching efficiency can be effectively improved, and the activity risk value can be rapidly obtained.
The information transmission unit is a wireless network transmission unit, the information transmission unit is connected with the control unit in a bidirectional way, the driving unit is an electric driving system, the driving unit is connected with the control unit and a control panel and a control key on the man-machine interaction unit, and the driving unit is connected with the keyword retrieval unit, the information input unit, the information transmission unit, the information processing unit, the information comparison unit and the information storage unit through the control unit.
The information processing unit operates based on a fuzzy algorithm, an information comparison unit and an information storage unit, and the specific operation steps are as follows:
step one: retrieving the generated activity category in an information storage unit;
step two: when the health activity type is in a fuzzy state, fuzzy processing is carried out through the information processing unit;
step three: carrying out extreme comparison on the processed category information, namely comparing the category information in the category of healthy activities with the category of no healthy activities;
step four: and generating an evaluation value according to the comparison information for judgment of a user.
The fuzzy algorithm in the information processing unit is mainly used for reducing the bias of activities at intermediate risk values, the fuzzy algorithm can be used for effectively reducing the bias generation of the activities risk, if the risk value of a certain activity in the information storage unit is 2.4 or 2.6 (biased to the intermediate risk value), the fuzzy algorithm is used for operation, the specific steps of the fuzzy algorithm are the advanced risk coefficient adjustment, the risk coefficient comparison is carried out, the risk coefficient is obtained, the risk coefficient of multiple words can be obtained according to the risk type, the obtained information is manufactured into a fuzzy relation matrix, the normalization processing is carried out according to the method of dividing the maximum value in the matrix, the matrix is transposed, the inference is carried out according to the inference synthesis rule, and the value for risk analysis is distributed to the control point set by the information distribution method, so that the risk value can be obtained.
Referring to fig. 2, an intelligent risk assessment method for health activities is shown as follows:
step one: a control panel on the man-machine interaction unit selects an activity type;
step two: selecting keywords according to the keyword searching unit, and searching in the storage unit;
step three: selecting whether information processing is required according to the search information;
step four: performing risk assessment according to the generated processing information;
step five: the risk assessment information is output to the control panel for reference by the user.
In the second step, the keyword search needs to set a threshold value for the activity type in the storage unit, that is, set a risk coefficient of the activity type, and the risk coefficient is 0-5 levels in total. The risk factor for healthy activity is infinitely close to 0, whereas it is infinitely close to 5.
The specific case of the retrieval in the third step is as follows:
when the risk coefficient of the activity type in the storage unit is 0 or 5, the risk coefficient is directly output to the control panel for a user to check;
when the risk coefficient of the activity category in the storage unit is about 2.5, or the activity category not existing in the storage unit, the specific processing steps are as follows:
step one: retrieving the generated activity category in an information storage unit;
step two: when the health activity type is in a fuzzy state, fuzzy processing is carried out through the information processing unit;
step three: carrying out extreme comparison on the processed category information, namely, comparing the category information in the category of the healthy activities with the category of the healthy activities;
step four: and generating an evaluation value according to the comparison information for judgment of a user.
Although the invention has been described hereinabove with reference to embodiments, various modifications thereof may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the features of the disclosed embodiments may be combined with each other in any manner as long as there is no structural conflict, and the exhaustive description of these combinations is not given in this specification merely for the sake of omitting the descriptions and saving resources. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (6)
1. An intelligent risk assessment system for health activities, characterized by: the system comprises a keyword searching unit, an information input unit, an information transmission unit, a control unit, a man-machine interaction unit, a driving unit, an information processing unit, an information comparison unit and an information storage unit, wherein the keyword searching unit, the information input unit, the information transmission unit, the control unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit are all arranged in the man-machine interaction unit, the man-machine interaction unit comprises a shell, a control panel and a control key, the control panel and the control key are arranged outside the shell, the control panel and the control key are output and connected with the control unit, and the control unit is connected with the keyword searching unit, the information input unit, the information transmission unit, the driving unit, the information processing unit, the information comparison unit and the information storage unit;
the information processing unit operates based on a fuzzy algorithm, an information comparison unit and an information storage unit, and the specific operation steps are as follows:
step one: retrieving the generated activity category in an information storage unit;
step two: when the health activity type is in a fuzzy state, fuzzy processing is carried out through the information processing unit;
step three: carrying out extreme comparison on the processed category information, namely comparing the category information in the category of healthy activities with the category of no healthy activities;
step four: and generating an evaluation value according to the comparison information for judgment of a user.
2. The intelligent risk assessment system for health activities of claim 1, wherein: the keyword retrieval unit is operated based on a keyword extraction algorithm, the keyword retrieval unit is installed in the human-computer interaction unit, the control unit is connected with the keyword retrieval unit in a bidirectional mode, the information input unit is connected with the control unit in an output mode, the human-computer interaction unit is connected with the information input unit in an output mode, and the information input unit is operated based on the human-computer interaction unit.
3. The intelligent risk assessment system for health activities of claim 1, wherein: the information transmission unit is a wireless network transmission unit, the information transmission unit is connected with the control unit in a bidirectional way, the driving unit is an electric driving system, the driving unit is connected with the control unit and a control panel and a control key on the man-machine interaction unit, and the driving unit is connected with the keyword retrieval unit, the information input unit, the information transmission unit, the information processing unit, the information comparison unit and the information storage unit through the control unit.
4. A method of assessing a health activity intelligent risk assessment system according to any one of claims 1 to 3 wherein: the evaluation method is as follows:
step one: a control panel on the man-machine interaction unit selects an activity type;
step two: selecting keywords according to the keyword searching unit, and searching in the storage unit;
step three: selecting whether information processing is required according to the search information;
step four: performing risk assessment according to the generated processing information;
step five: the risk assessment information is output to the control panel for reference by the user.
5. The intelligent risk assessment method for health activities according to claim 4, wherein: when the keywords are searched in the second step, the control unit is required to set the threshold value of the activity type in the storage unit, namely, the risk coefficient of the activity type is set, and the risk coefficient of the healthy activity is infinitely close to 0 in 0-5 grades, otherwise, is infinitely close to 5.
6. The intelligent risk assessment method for health activities according to claim 4, wherein: the specific cases of the retrieval in the step three are as follows:
when the risk coefficient of the activity type in the storage unit is 0 or 5, the risk coefficient is directly output to a control panel for a common user to check;
when the risk coefficient of the activity type in the storage unit is 2.5 or the activity type which does not exist in the storage unit, the specific processing steps are the same as the operation steps of the information processing unit based on the fuzzy algorithm and the information comparison unit and the information storage unit.
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