CN110428900A - A kind of medical data integration system having artificial intelligence and method - Google Patents
A kind of medical data integration system having artificial intelligence and method Download PDFInfo
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- CN110428900A CN110428900A CN201910619026.7A CN201910619026A CN110428900A CN 110428900 A CN110428900 A CN 110428900A CN 201910619026 A CN201910619026 A CN 201910619026A CN 110428900 A CN110428900 A CN 110428900A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 18
- 230000010354 integration Effects 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 239000008280 blood Substances 0.000 claims abstract description 21
- 210000004369 blood Anatomy 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 20
- 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 claims abstract description 14
- 239000008103 glucose Substances 0.000 claims abstract description 14
- 230000036772 blood pressure Effects 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000013480 data collection Methods 0.000 claims abstract description 7
- 238000013500 data storage Methods 0.000 claims abstract description 7
- 230000000737 periodic effect Effects 0.000 claims abstract description 7
- 210000000352 storage cell Anatomy 0.000 claims abstract description 5
- 238000001441 oximetry spectrum Methods 0.000 claims abstract description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 7
- 201000010099 disease Diseases 0.000 claims description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 7
- 229910052760 oxygen Inorganic materials 0.000 claims description 7
- 239000001301 oxygen Substances 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 6
- 238000010801 machine learning Methods 0.000 claims description 4
- 241001269238 Data Species 0.000 claims description 3
- 238000009530 blood pressure measurement Methods 0.000 claims description 3
- 230000037396 body weight Effects 0.000 claims description 3
- 238000009532 heart rate measurement Methods 0.000 claims description 3
- 238000002496 oximetry Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 238000007689 inspection Methods 0.000 claims 1
- 238000012549 training Methods 0.000 description 5
- 206010028980 Neoplasm Diseases 0.000 description 3
- 201000011510 cancer Diseases 0.000 description 3
- 238000002555 auscultation Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 206010061818 Disease progression Diseases 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005750 disease progression Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Classifications
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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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
-
- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention relates to intelligent medical field, a kind of medical data integration system for having artificial intelligence and method are disclosed, solves the technical issues of Allocation of Medical Resources.Weight data, height data, blood pressure data, blood glucose level data, oximetry data and the heart rate data detected by tester uploads to Intelligent Processing Platform, data collection module collects data and stores data into data storage cell, data analysis is carried out after calculating data, and by data analysis as the result is shown on display screen for graphic presentation.It is provided with detection device at home by people, periodic detection body simultaneously will test data and be uploaded to Intelligent Processing Platform, Intelligent Processing Platform is judged according to the data after detection, and analysis result and suggestion are provided on display screen for graphic presentation automatically, hospital is selected to be allocated according to the severity of the state of an illness simultaneously, according to the positioning and the positioning of oneself of hospital, the shortest hospital of manhatton distance will be calculated as preferential recommendation hospital.
Description
Technical field
The present invention relates to intelligent medical fields, more specifically, it relates to which a kind of medical data for having artificial intelligence is whole
Close system and method.
Background technique
Health problem is always the significant problem of entire facing mankind, especially steps into aging society now, and young
People also gradually highlights Kang Wenti under hard work pressure.In daily life, we should just focus on health, work as appearance
Uncomfortable timely medical treatment, the just processing in time before disease progression.
But present medical resource is very in short supply, once the medical treatment of sick needs will be often lined up for a long time, when delay treatment
Machine, moreover, medical resource distribution is unbalanced, many small state of an illness all remove a few high-quality Grade A hospital, lead to high-quality three
First Hospital medical resource is difficult to match demand, it is also difficult to make service, non-Grade A hospital to the patient for really needing high-end treatment
Medical resource it is but greatly idle, resource supply and demand mispairing is greatly to lose and waste to society.
It would therefore be desirable to a kind of medical data integration system for having artificial intelligence and method.
Summary of the invention
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of medical data integration system for having artificial intelligence and
Method has the advantages that solve Allocation of Medical Resources.
Foregoing invention purpose of the invention has the technical scheme that
A kind of medical data integration system having artificial intelligence, including information input terminal, Intelligent Processing Platform and figure
Display screen, which is characterized in that the information input terminal include batheroom scale, height instrument, sphygmomanometer, blood glucose meter, blood oxygen measuring device and
Electronic auscultation device, the Intelligent Processing Platform include data collection module, Data Computation Unit, data storage cell, data point
Analyse unit and path allocation unit.
Through the above technical solutions, weight data, height data, blood pressure data, blood glucose level data, blood that tester detects
Oxygen data and heart rate data upload to Intelligent Processing Platform, and data collection module collects data and stores data into data storage
Unit carries out data analysis after calculating data, and by data analysis as the result is shown on display screen for graphic presentation.
A kind of medical data integration method having artificial intelligence, includes the following steps:
People are provided with detection device at home, and periodic detection body simultaneously will test data and be uploaded to Intelligent Processing Platform,
Intelligent Processing Platform is judged according to the data after detection, and provides analysis result and suggestion on display screen for graphic presentation automatically,
It selects hospital to be allocated according to the severity of the state of an illness simultaneously, according to the positioning and the positioning of oneself of hospital, will calculate graceful
For Hatton apart from shortest hospital as preferential recommendation hospital, manhatton distance is used in the geometry term of geometry metric space,
To indicate that two points fasten absolute wheelbase summation in standard coordinate.
Further, the periodic detection includes height measurement, measured body weight, blood pressure measurement, blood glucose measurement, Oximetry
And heart rate measurement.
Further, detection method includes measuring to single data, when the data detected are more than defined threshold,
Tester's referring physician is reminded, adding survey method further includes by height data, weight data, blood pressure data, blood glucose level data, blood oxygen number
, as a feature, a large amount of historical datas are trained to obtain disease forecasting model, according to tester's according to heart rate data
Data prediction may suffer from the probability of related disease.
Further, the data training method is the supervised study in machine learning.
Further, newly generated data and testing result will continue to update the weight in supervised learning algorithm.
Compared with prior art, the beneficial effects of the present invention are:
(1) weight data, height data, blood pressure data, blood glucose level data, oximetry data and the heart detected by tester
Rate data upload to Intelligent Processing Platform, and data collection module collects data and stores data into data storage cell, calculates
Data analysis is carried out after data, and by data analysis as the result is shown on display screen for graphic presentation；
(2) detection device is provided at home by people, periodic detection body simultaneously will test data and be uploaded to intelligent place
Platform, Intelligent Processing Platform are judged according to the data after detection, and provide analysis result on display screen for graphic presentation automatically
And suggestion, while selecting hospital to be allocated according to the severity of the state of an illness, according to the positioning and the positioning of oneself of hospital, will count
The shortest hospital of manhatton distance is calculated as preferential recommendation hospital；
(3) pass through the supervised study that the data training method is in machine learning, newly generated data and detection knot
Fruit will continue to update the weight in supervised learning algorithm.
Detailed description of the invention
Fig. 1 is system structure diagram of the invention.
Specific embodiment
With reference to the accompanying drawings and examples, the present invention will be described in detail.
Embodiment one
A kind of medical data integration system having artificial intelligence, including information input terminal, Intelligent Processing Platform and figure
Display screen, which is characterized in that the information input terminal include batheroom scale, height instrument, sphygmomanometer, blood glucose meter, blood oxygen measuring device and
Electronic auscultation device, the Intelligent Processing Platform include data collection module, Data Computation Unit, data storage cell, data point
Analyse unit and path allocation unit.
Through the above technical solutions, weight data, height data, blood pressure data, blood glucose level data, blood that tester detects
Oxygen data and heart rate data upload to Intelligent Processing Platform, and data collection module collects data and stores data into data storage
Unit carries out data analysis after calculating data, and by data analysis as the result is shown on display screen for graphic presentation.
People are provided with detection device at home, and periodic detection body simultaneously will test data and be uploaded to Intelligent Processing Platform,
Intelligent Processing Platform is judged according to the data after detection, and provides analysis result and suggestion on display screen for graphic presentation automatically,
It selects hospital to be allocated according to the severity of the state of an illness simultaneously, according to the positioning and the positioning of oneself of hospital, will calculate graceful
For Hatton apart from shortest hospital as preferential recommendation hospital, manhatton distance is used in the geometry term of geometry metric space,
To indicate that two points fasten absolute wheelbase summation in standard coordinate.
Further, the periodic detection includes height measurement, measured body weight, blood pressure measurement, blood glucose measurement, Oximetry
And heart rate measurement.
Further, detection method includes measuring to single data, when the data detected are more than defined threshold,
Tester's referring physician is reminded, adding survey method further includes by height data, weight data, blood pressure data, blood glucose level data, blood oxygen number
, as a feature, a large amount of historical datas are trained to obtain disease forecasting model, according to tester's according to heart rate data
Data prediction may suffer from the probability of related disease.
Further, the data training method is the supervised study in machine learning.
Further, newly generated data and testing result will continue to update the weight in supervised learning algorithm.
Embodiment two
A kind of medical data integration method having artificial intelligence, on the basis of example 1, more specifically, tester
Test result blood pressure exceeds normal value, the Branch Clinic near the detection of path allocation unit, and compares manhatton distance, selects most
Tester's referring physician is recommended on display screen for graphic presentation and depressor is bought according to instruction in close clinic.
Embodiment three
A kind of medical data integration method having artificial intelligence, on the basis of example 1, more specifically, for the first time
Testing result heart rate is higher, and detection heart rate gradually decreases several times later, and blood pressure gradually decreases, and may suffer from cancer, if detection
To data reduction be not particularly significant, it is likely that be not that cancer causes, path allocation unit can according to recommend nearby Manhattan away from
It checks UP and seeks advice from from nearest hospital.If obviously matched with cancer symptoms, warning goes Grade A hospital to see a doctor immediately, together
When reservation function is provided.
Example IV
The implementation of a kind of medical data integration method having artificial intelligence, prediction model can use supporting vector
Machine algorithm, using a large amount of historical data as training data, training dataset be (weight data, height data, blood pressure data,
Blood glucose level data, oximetry data, heart rate data), output result is the probability and severity level of illness type, and by patient's
As a result whether it is used as with this kind disease and feeds back correction model again, the accuracy of model is continuously improved, according to severity level road
The case where diameter allocation unit distributes corresponding hospital, balances medical resource, prevents medical resource excess waste.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of medical data integration system for having artificial intelligence, including information input terminal, Intelligent Processing Platform and figure are aobvious
Display screen, which is characterized in that the information input terminal includes batheroom scale, height instrument, sphygmomanometer, blood glucose meter, blood oxygen measuring device and electricity
Sub- stethoscope, the Intelligent Processing Platform include data collection module, Data Computation Unit, data storage cell, data analysis
Unit and path allocation unit.
2. a kind of medical data integration method for having artificial intelligence, which comprises the steps of:
People are provided with detection device at home, and periodic detection body simultaneously will test data and be uploaded to Intelligent Processing Platform, intelligence
Processing platform is judged according to the data after detection, and provides analysis result and suggestion on display screen for graphic presentation automatically, simultaneously
It selects hospital to be allocated according to the severity of the state of an illness, according to the positioning and the positioning of oneself of hospital, Manhattan will be calculated
Apart from shortest hospital as preferential recommendation hospital.
3. the medical data integration method according to claim 2 for having artificial intelligence, which is characterized in that the regular inspection
Survey includes height measurement, measured body weight, blood pressure measurement, blood glucose measurement, Oximetry and heart rate measurement.
4. the medical data integration method according to claim 3 for having artificial intelligence, which is characterized in that detection method packet
It includes and single data is measured, when the data detected are more than defined threshold, remind tester's referring physician, add survey method
It further include being incited somebody to action using height data, weight data, blood pressure data, blood glucose level data, oximetry data and heart rate data as a feature
A large amount of historical datas are trained to obtain disease forecasting model, may be with the general of related disease according to the prediction of the data of tester
Rate.
5. the medical data integration method according to claim 4 for having artificial intelligence, which is characterized in that the data instruction
Practicing method is the supervised study in machine learning.
6. the medical data integration method according to claim 5 for having artificial intelligence, which is characterized in that newly generated number
According to the weight that will continue to testing result in update supervised learning algorithm.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910619026.7A CN110428900A (en) | 2019-07-10 | 2019-07-10 | A kind of medical data integration system having artificial intelligence and method |
| PCT/CN2020/091445 WO2021004168A1 (en) | 2019-07-10 | 2020-05-21 | Artificial intelligence-type medical data integration system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111415449A (en) * | 2020-03-17 | 2020-07-14 | 北京声智科技有限公司 | Registration method, electronic equipment, server and registration system |
| WO2021004168A1 (en) * | 2019-07-10 | 2021-01-14 | 江苏博子岛智能科技有限公司 | Artificial intelligence-type medical data integration system and method |
| WO2022154951A1 (en) * | 2021-01-12 | 2022-07-21 | Ways Investment, Llc | System, method, and apparatus for staff or resource deployment |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112102952B (en) * | 2020-08-24 | 2024-05-14 | 广州金域医学检验中心有限公司 | Method for identifying pathology category based on distance calculation method and related equipment |
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Cited By (3)
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| WO2021004168A1 (en) * | 2019-07-10 | 2021-01-14 | 江苏博子岛智能科技有限公司 | Artificial intelligence-type medical data integration system and method |
| CN111415449A (en) * | 2020-03-17 | 2020-07-14 | 北京声智科技有限公司 | Registration method, electronic equipment, server and registration system |
| WO2022154951A1 (en) * | 2021-01-12 | 2022-07-21 | Ways Investment, Llc | System, method, and apparatus for staff or resource deployment |
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