CN109872815A - A kind of Disease Warning Mechanism analysis system based on big data - Google Patents
A kind of Disease Warning Mechanism analysis system based on big data Download PDFInfo
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- CN109872815A CN109872815A CN201910014316.9A CN201910014316A CN109872815A CN 109872815 A CN109872815 A CN 109872815A CN 201910014316 A CN201910014316 A CN 201910014316A CN 109872815 A CN109872815 A CN 109872815A
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Abstract
The present invention discloses a kind of Disease Warning Mechanism analysis system based on big data, including data gathering system, data sorting system, data processing system, expert system and center applications system, the data gathering system includes for collecting human body sign data and illness data, the data sorting system is matched according to illness data with human body physical sign data, the data processing system is that risk report is provided when receiving new characteristic, the expert system is used to check the abnormal data of data processing system to add new illness model, the center applications system is used to collect diagnosis information and drug is collected using result information.Each sign information of sufferer can be carried out matching the last medication information for obtaining the most suitable current sign of sufferer and eating habit and exercise intensity using system of the invention, realize the customization medical services for adapting to different sufferers.
Description
Technical field
The present invention relates to Disease Warning Mechanism fields, and in particular to a kind of Disease Warning Mechanism analysis system based on big data.
Background technique
With the arriving of cloud computing and big data era, medical data scale constantly increases in electronic health record database, greatly
Scale electronic case history treatment mechanism complex in entire medical big data generation and use process, is excavated wherein important
Medical diagnosis rule and knowledge are the key that form Clinical Decision Support Systems.Due to the medical number stored in electronic medical record system
According to having many characteristics, such as that capacity is big, source dispersion, format is various, access speed is fast and application value is high, to its feature selecting, know
Know discovery and clinical decision support service etc. and brings larger difficulty.In conjunction with big data electronic medical record system own characteristic, use
Some efficient methods carry out complicated medical record attribute reduction processing and analysis, sufficiently excavate the pass between disease or sign
Personalization and more educated medical treatment & health big data service etc. are analyzed and provided to connection property to big data clinical decision support is carried out
It is of great significance, is to design face the future health service big data engineering and clinical intelligent decision Analysis Service system
It is crucial.
Big data electronic health record reduction be under current medical big data background Clinical Decision Support Systems research in one tool
Challenging project.It is using cloud computing technology that magnanimity electronics is sick to improve extensive electronic health record data-handling efficiency
It goes through on distributed data storage to different data center's nodes, constructs several extensive electronic health record medical data centers, it is real
Now the distribution storage of extensive magnanimity electronic health record data, organization and management, to support the parallel intelligence of extensive electronic health record
Processing.
Summary of the invention
It is an object of the invention to be reclassified using big data to disease model, so that various disease models have
It is corresponding to use drug, to improve the preventive effect and effectively treatment of disease.
A kind of Disease Warning Mechanism analysis system based on big data, including data gathering system, number are provided according to object above
According to categorizing system, data processing system, expert system and center applications system,
The data gathering system include for collecting human body sign data and illness data,
The data sorting system is matched according to illness data with human body physical sign data,
The data processing system is that risk report is provided when receiving new characteristic,
The expert system is used to check the abnormal data of data processing system to add new illness model,
The center applications system is used to collect diagnosis information and drug is collected using result information.
Preferably, the human body physical sign data include gene information, general information, internal medicine information, skin information, ophthalmology
Information, ear-nose-throat department information, department of stomatology information, blood routine information, routine urinalysis information, blood viscosity information, liver function information, kidney
Functional information, blood sugar test information, blood lipid test information, thyroid function information, myocardial function information, pancreatic functions information,
Immunologic information, cardiovascular information, pylorus helix information, tumor markers information, microelement information, gynaecology's information, electrocardiogram
One or more of information, B ultrasound information or CT information.
Preferably, risk report includes effective precautionary approach, including but not limited to medication, diet and fortune
It is dynamic.
Preferably, general information includes one or more of height, weight, blood pressure, waistline, hip circumference or bust.
Preferably, the data sorting system classifies to sufferer according to the model that expert system is fed back, classification side
Formula be simultaneously the same human body sign data of appearance 10 or more when, establish sufferer submodel, then feed back to expert system into
Row verification.
A kind of Disease Warning Mechanism analysis method based on big data is further provided, it is any described using claim 1-4
The Disease Warning Mechanism analysis system based on big data, include the following steps,
S1. existing data are collected by data gathering system,
S2. the submodel of sufferer model is established by data sorting system, and is sent to expert system and is checked,
S3. expert system checks submodel, feeds back to data sorting system, for establishing the second level submodule of submodel
Type,
S4. user inputs human body physical sign data by data processing system, and data processing system is arranged by the matching of big data
The model and submodel at different levels occurred,
S5. effective situation is used using the diagnosis information of each model of center applications system feedback and drug.
The invention has the following beneficial effects:
1. it is generally known that even identical disease it is also possible that carry out quality with different drugs, and this part at present
The experience that judgement relies primarily on doctor is handled, and the present invention receives original disease information by the way of big data
Collection, and trace analysis is carried out to therapeutic effect, submodel or composite model are established to each disease, to pass through big data
System award doctor's better quality suggestion.
2. doctor trained in Western medicine mainly judges disease according to indices data, this mode can be carried out completely by big data
It realizes, it is only necessary to all data targets be inputted, and the model of identical human body physical sign is merged, may infer that
The model of most possible illness out, to carry out most effective treatment and prevention.
3. present invention introduces gene information, since the difference of gene will affect disease and medication, the present invention by gene and
It is medicinal to be combined, the consideration standard that gene information becomes medication is embodied in the calculating of big data.
4. accurate medical treatment, and the medical treatment customized may be implemented in the present invention, it is recommended to use after data change
Different drugs can suggest that sufferer is moved and diet accordingly after lesion is eliminated.
Specific embodiment
Below in conjunction with the embodiment of the present invention, the technical scheme in the embodiment of the invention is clearly and completely described,
Obviously, the embodiment described is the embodiment of part of representative of the invention, rather than whole embodiments, this field are general
Other all embodiments obtained belong to protection of the invention to logical technical staff without making creative work
Range.
Embodiment 1
The present embodiment discloses a kind of Disease Warning Mechanism analysis system based on big data, including data gathering system, data classification system
System, data processing system, expert system and center applications system,
The data gathering system include for collecting human body sign data and illness data,
The data sorting system is matched according to illness data with human body physical sign data,
The data processing system is that risk report is provided when receiving new characteristic,
The expert system is used to check the abnormal data of data processing system to add new illness model,
The center applications system is used to collect diagnosis information and drug is collected using result information.
Preferably, the human body physical sign data include gene information, general information, internal medicine information, skin information, ophthalmology
Information, ear-nose-throat department information, department of stomatology information, blood routine information, routine urinalysis information, blood viscosity information, liver function information, kidney
Functional information, blood sugar test information, blood lipid test information, thyroid function information, myocardial function information, pancreatic functions information,
Immunologic information, cardiovascular information, pylorus helix information, tumor markers information, microelement information, gynaecology's information, electrocardiogram
One or more of information, B ultrasound information or CT information
Preferably, general information includes one or more of height, weight, blood pressure, waistline, hip circumference or bust.
Preferably, the data sorting system classifies to sufferer according to the model that expert system is fed back, classification side
Formula be simultaneously the same human body sign data of appearance 10 or more when, establish sufferer submodel, then feed back to expert system into
Row verification.
For example,
After the patient with diabetes inputs human body physical sign data, data processing system can be according to the model extraction of diabetes
Corresponding human body sign data is checked check model data and then carrying out the model of submodel, can check height, sign,
Whether blood glucose, blood lipid etc. can also have other disease syndromes to account for recently according to it, and then export has same volume with him
The patient of sign uses any drug at present, and uses the diagnosis report of the variation of the sign of human body and doctor after drug.
Since diabetes have complication very pair, the medication for complication is to need to consider several factors, passes through this
All related data disposably can be merged processing by system, to show that most suitable drug is assorted to human body at present
, to realize the accurate medical treatment to sufferer.
Those skilled in the art is not under conditions of departing from the spirit and scope of the present invention that claims determine, also
Various modifications can be carried out to the above content.Therefore the scope of the present invention is not limited in above explanation, but by
The range of claims determines.
Claims (5)
1. a kind of Disease Warning Mechanism analysis system based on big data, which is characterized in that including data gathering system, data classification system
System, data processing system, expert system and center applications system,
The data gathering system include for collecting human body sign data and illness data,
The data sorting system is matched according to illness data with human body physical sign data,
The data processing system is that risk report is provided when receiving new characteristic,
The expert system is used to check the abnormal data of data processing system to add new illness model,
The center applications system is used to collect diagnosis information and drug is collected using result information.
2. the Disease Warning Mechanism analysis system according to claim 1 based on big data, which is characterized in that the body
Sign data include gene information, general information, internal medicine information, skin information, ophthalmic information, ear-nose-throat department information, department of stomatology letter
Breath, blood routine information, routine urinalysis information, blood viscosity information, liver function information, renal function information, blood sugar test information, blood lipid
Test information, thyroid function information, myocardial function information, pancreatic functions information, immunologic information, cardiovascular information, pylorus spiral shell
Revolve one in information, tumor markers information, microelement information, gynaecology's information, ECG information, B ultrasound information or CT information
Kind is several.
3. the Disease Warning Mechanism analysis system according to claim 2 based on big data, which is characterized in that general information includes
One or more of height, weight, blood pressure, waistline, hip circumference or bust.
4. the Disease Warning Mechanism analysis system according to claim 1 based on big data, which is characterized in that the data point
Class system classifies to sufferer according to the model that expert system is fed back, and mode classification is while 10 or more same persons occurs
When body sign data, sufferer submodel is established, expert system is then fed back to and is checked.
5. a kind of Disease Warning Mechanism analysis method based on big data, which is characterized in that use any base of claim 1-4
In the Disease Warning Mechanism analysis system of big data, include the following steps,
S1. existing data are collected by data gathering system,
S2. the submodel of sufferer model is established by data sorting system, and is sent to expert system and is checked,
S3. expert system checks submodel, feeds back to data sorting system, for establishing the second level submodule of submodel
Type,
S4. user inputs human body physical sign data by data processing system, and data processing system is arranged by the matching of big data
The model and submodel at different levels occurred,
S5. effective situation is used using the diagnosis information of each model of center applications system feedback and drug.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111063449A (en) * | 2020-01-20 | 2020-04-24 | 罗晖 | Epidemic disease prediction prevention and control system based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111063449A (en) * | 2020-01-20 | 2020-04-24 | 罗晖 | Epidemic disease prediction prevention and control system based on big data |
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