CN105631204A - Health management method based on big data - Google Patents
Health management method based on big data Download PDFInfo
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- CN105631204A CN105631204A CN201510988612.0A CN201510988612A CN105631204A CN 105631204 A CN105631204 A CN 105631204A CN 201510988612 A CN201510988612 A CN 201510988612A CN 105631204 A CN105631204 A CN 105631204A
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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 relates to a health management method based on big data. The method comprises the following steps that a user accesses Internet through an intelligent terminal and finds the website of a health management service side; the user registers an account number and performs login; a health detection unit is selected according to requirements; then, answering is made according to questions; the replied health detection unit is transmitted to a matching module; the matching module matches the contents with the contents of a health database, and gives health guidance suggestions; and the suggestions are output to a health management terminal through an output module. A building method of the health detection unit comprises the following steps of collecting various symptoms; listing out the symptoms one by one in a fine item listing way; giving out labels one by one; combining the labels again; and storing the novel combined labels. The method has the advantages that the user can obtain the guidance about the health problem at any time in any place through the health management terminal; the body state can be fed back at any time; the health management service side can regulate the guidance suggestions at any time according to the latest body condition of the user.
Description
Technical field
The present invention relates to health control technical field, particularly relate to a kind of health control method based on big data.
Background technology
Along with the development of Internet technology, Health Management Mode has been not limited to that patient is aspectant with doctor to be exchanged, no longer by the time, region, mode restriction, patient can understand the health of oneself in time and obtain corresponding health guidance. Along with the maturation of big data technique, based on big data and evidence-based medicine EBM, health control new model is possibly realized. But, the health management system arranged consulting still being limited to technically on line at present with simply exchange, it is impossible to adjust health management scheme in time according to the actual implementation status of patient, cause that health control effect is undesirable.
Summary of the invention
The technical problem to be solved is in that to provide a kind of health control method based on big data.
The present invention solves above-mentioned technical problem by the following technical solutions: a kind of health control method based on big data, comprises the steps:
Step 1: user accesses network by intelligent terminal, finds the network address of Health management service end;
Step 2: user registers an account at Health management service end, and logs in;
Step 3: user selects health detection unit as required, then the problem according to health detection unit makes answer;
Step 4: the health detection unit through replying is sent to matching module, and this content is mated by matching module with the content of Health database, and provides health guidance suggestion according to matching result;
Step 5: health guidance suggestion exports health control terminal by output module, user can preserve, print this health guidance suggestion;
Step 6: user logs in individual's account at any time, repeats step 3 to step 5;
Wherein the method for building up of health detection unit comprises the steps:
Step (1): gather the various symptom about sub-health state or commonly encountered diseases state, and a point thin item is listed one by one;
Step (2): the symptom of the various sub-health states gathered or commonly encountered diseases state is provided mark one by one;
Step (3): the various symptoms likely occurred identified and several symptoms of likely simultaneously occurring are combined mark again;
Step (4): store these new combination marks, call for system.
Concrete, in described Health management service end, health control module being installed, this health control module includes registration and login module, health detection unit, Health database, matching module, output module.
Concrete, subhealth state detection unit that described health detection unit includes carrying out instructing for subhealth state, carry out the commonly encountered diseases detection unit that instructs for common disease.
Concrete, described Health database includes exercise guidance unit, dietetic therapy guide unit and Drug therapy guide unit.
Concrete, including various health problem in health detection unit, adopt the mode of option to be configured, Health database Rigen, according to the combination of the various answers of user possible health detection unit, is provided with the instruction of correspondence.
Concrete, described health control terminal is various intelligent terminal.
Concrete, described Health management service end is various intelligent terminal.
Concrete, described health control terminal and Health management service end are same intelligent middle-end.
It is an advantage of the current invention that: user, whenever and wherever possible such as through health control terminal, obtains the guidance about health problem, and can feed back condition at any time, and Health management service end adjusts instruction at any time according to the physical condition that user is up-to-date.
Accompanying drawing explanation
Fig. 1 is whole health management system arranged composition frame chart.
Fig. 2 is the composition frame chart of health control module.
Fig. 3 is the composition frame chart of health detection unit.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in detail.
Refer to shown in Fig. 1 and Fig. 2, whole health management system arranged include health control terminal, terminal communication unit, Health management service end, service end communication unit.
Described health control terminal is connected to network by terminal communication unit, and Health management service end is connected to network by service end communication unit, and health control terminal accesses Health management service end by network.
Being provided with health control module in described Health management service end, this health control module includes registration and login module, health detection unit, Health database, matching module, output module.
Subhealth state detection unit that described health detection unit includes carrying out instructing for subhealth state, carry out the commonly encountered diseases detection unit that instructs for common disease, certainly, can also including other more about healthy detection unit, described Health database includes exercise guidance unit, dietetic therapy guide unit and Drug therapy guide unit. Including various health problem in health detection unit, adopt the mode of option to be configured, Health database Rigen, according to the combination of the various answers of user possible health detection unit, is provided with the instruction of correspondence.
Referring to shown in Fig. 3, for the composition frame chart of health detection unit, the described health control method based on big data includes collecting unit, mark unit, assembled unit and memory element. Described collecting unit gathers the various symptoms about sub-health state or commonly encountered diseases state, and a point thin item is listed one by one, the symptom of the various sub-health states gathered or commonly encountered diseases state is given outgoing label thus making mark by described mark unit one by one, the various symptoms likely occurred identified and several symptoms of likely simultaneously occurring are combined mark by assembled unit again, memory element is used for storing these new combination marks, calls for system.
The method for building up of this health detection unit comprises the steps:
Step 1: gather the various symptom about sub-health state or commonly encountered diseases state, and a point thin item is listed one by one;
Step 2: the symptom of the various sub-health states gathered or commonly encountered diseases state is provided mark one by one;
Step 3: the various symptoms likely occurred identified and several symptoms of likely simultaneously occurring are combined mark again;
Step 4: store these new combination marks, call for system.
Described health control terminal can be various intelligent terminal, such as computer, mobile phone, PAD etc. Certainly, described Health management service end can also be various intelligent terminal, such as computer, mobile phone, PAD etc. Common, described Health management service end is server. Described health control terminal and Health management service end can also be same intelligent middle-end.
Should be as follows based on the health control method using method of big data:
Step 1: user accesses network by intelligent terminal, finds the network address of Health management service end;
Step 2: user registers an account at Health management service end, and logs in, and register account number can be continuing with in the ensuing time;
Step 3: user selects health detection unit as required, as subhealth state detects unit or commonly encountered diseases detection unit etc., then the problem according to health detection unit makes answer;
Step 4: the health detection unit through replying is sent to matching module, and this content is mated by matching module with the content of Health database, and provides health guidance suggestion according to matching result;
Step 5: health guidance suggestion exports health control terminal by output module, user can preserve, print this health guidance suggestion;
Step 6: user logs in individual's account at any time, repeats step 3 to step 5.
The foregoing is only the preferred embodiment of the invention; not in order to limit the invention; the any amendment made within all spirit in the invention and principle, equivalent replacement and improvement etc., should be included within the protection domain of the invention.
Claims (8)
1. the health control method based on big data, it is characterised in that: comprise the steps:
Step 1: user accesses network by intelligent terminal, finds the network address of Health management service end;
Step 2: user registers an account at Health management service end, and logs in;
Step 3: user selects health detection unit as required, then the problem according to health detection unit makes answer;
Step 4: the health detection unit through replying is sent to matching module, and this content is mated by matching module with the content of Health database, and provides health guidance suggestion according to matching result;
Step 5: health guidance suggestion exports health control terminal by output module, user can preserve, print this health guidance suggestion;
Step 6: user logs in individual's account at any time, repeats step 3 to step 5;
Wherein the method for building up of health detection unit comprises the steps:
Step (1): gather the various symptom about sub-health state or commonly encountered diseases state, and a point thin item is listed one by one;
Step (2): the symptom of the various sub-health states gathered or commonly encountered diseases state is provided mark one by one;
Step (3): the various symptoms likely occurred identified and several symptoms of likely simultaneously occurring are combined mark again;
Step (4): store these new combination marks, call for system.
2. a kind of health control method based on big data according to claim 1, it is characterized in that: be provided with health control module in described Health management service end, this health control module includes registration and login module, health detection unit, Health database, matching module, output module.
3. a kind of health control method based on big data according to claim 1, it is characterised in that: subhealth state detection unit that described health detection unit includes carrying out instructing for subhealth state, carry out the commonly encountered diseases detection unit that instructs for common disease.
4. a kind of health control method based on big data according to claim 1, it is characterised in that: described Health database includes exercise guidance unit, dietetic therapy guide unit and Drug therapy guide unit.
5. a kind of health control method based on big data according to claim 1, it is characterized in that: in health detection unit, include various health problem, the mode adopting option is configured, Health database Rigen, according to the combination of the various answers of user possible health detection unit, is provided with the instruction of correspondence.
6. a kind of health control method based on big data according to claim 1, it is characterised in that: described health control terminal is various intelligent terminal.
7. a kind of health control method based on big data according to claim 1, it is characterised in that: described Health management service end is various intelligent terminal.
8. a kind of health control method based on big data according to claim 1, it is characterised in that: described health control terminal and Health management service end are same intelligent middle-end.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510988612.0A CN105631204A (en) | 2015-12-24 | 2015-12-24 | Health management method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510988612.0A CN105631204A (en) | 2015-12-24 | 2015-12-24 | Health management method based on big data |
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| Publication Number | Publication Date |
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| CN105631204A true CN105631204A (en) | 2016-06-01 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201510988612.0A Pending CN105631204A (en) | 2015-12-24 | 2015-12-24 | Health management method based on big data |
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| CN (1) | CN105631204A (en) |
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2015
- 2015-12-24 CN CN201510988612.0A patent/CN105631204A/en active Pending
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Application publication date: 20160601 |
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