CN109584987A - Decentralization high frequency common disease drug intelligent recommendation algorithm based on big data - Google Patents
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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
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
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- G—PHYSICS
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- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The present invention relates to pharmaceutical drugs technical fields, and disclose the decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, including central processing unit, contrast module, central memory, interactive module, mobile terminal, print module and data conversion module, the central processing unit respectively with contrast module and central memory are two-way is electrically connected, the input terminal of the central processing unit is electrically connected with the output end of interactive module.The decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, existing hospital is solved when diagnosing to patient, majority is the common diseases such as flu, fever and blood pressure of old people height, these common diseases can be treated by suitable drug, these patients go to hospital not need excessive and complicated diagnosis, patient is caused, for a center seen a doctor, the flow of the people at outpatient service to be increased, the problem of making troubles for medical staff with hospital or outpatient service.
Description
Technical field
The present invention relates to pharmaceutical drugs technical field, specially a kind of decentralization high frequency common disease based on big data
Drug intelligent recommendation algorithm.
Background technique
Disease is an extremely complex process, is one by quantitative change to qualitative change from health to disease in many cases
Process reaches some strength or certain time, that is to say, that pathogenic factor has when extraneous pathogenic factor acts on cell
A certain amount of accumulation will cause the damage of cell, function, metabolism, morphosis disorder occurs in this cell being damaged,
When human body is after occurring disease, need to go to hospital to go to a doctor at once.
When diagnosing to patient, majority is the common diseases such as flu, fever and blood pressure of old people height for existing hospital
Disease, these common diseases can be treated by suitable drug, and it is excessive and complicated that these patients go to hospital not need
Diagnosis causes patient, for a center seen a doctor, to increase the flow of the people at outpatient service with hospital or outpatient service, be medical staff with
It is inconvenient to come, so propose a kind of above-mentioned to solve based on the decentralization high frequency common disease drug intelligent recommendation algorithm of big data
The problem of proposed.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides a kind of decentralization high frequency common disease medicine based on big data
Product intelligent recommendation algorithm has the advantages that capable of solving common disease by artificial intelligence, solves existing hospital to patient
When being diagnosed, majority is the common diseases such as flu, fever and blood pressure of old people height, these common diseases can be by being suitble to
Drug treated, these patients go to hospital not need excessive and complicated diagnosis, cause patient with hospital or door
The center seen a doctor for one is examined, the flow of the people at outpatient service is increased, the problem of making troubles for medical staff.
(2) technical solution
To realize the above-mentioned purpose that can solve common disease by artificial intelligence, the invention provides the following technical scheme: base
In the decentralization high frequency common disease drug intelligent recommendation algorithm of big data, including central processing unit, contrast module, center are deposited
Reservoir, interactive module, mobile terminal, print module, data conversion module and measurement module, the central processing unit respectively with it is right
Electrical connection more two-way than module and central memory, the input terminal of the central processing unit are electrically connected with the output end of interactive module,
The central processing unit is connected with mobile terminal by Ethernet, the central processing unit respectively with print module and data conversion
The two-way electrical connection of module, the output end electrical connection of the input terminal and measurement module of the data conversion module；
The interactive module includes display screen, identification card reader, input unit and camera, the display screen, identity
The input terminal of card reader, input unit and camera is electrically connected with the output end of central processing unit；
The measurement module includes body temperature measurer, blood-pressure measuring appliance, auscultation measuring appliance, the inside of the body temperature measurer
It is electrically connected with temperature sensor, the body temperature measurer, blood-pressure measuring appliance and auscultation measuring appliance are two-way with data conversion module
Electrical connection and this method the following steps are included:
1) identity of patient is identified by identification card reader and camera；
2) it is measured by body of the measurement module to patient；
3) data in measurement module are converted by data conversion module, and the number with normal person in contrast module
According to comparing；
4) physical condition of central processing unit analysis patient；
5) causes for pathological and drug inventory are printed by print module.
Preferably, the model DKQ-A16D of the identification card reader, the input unit include keyboard and mouse, institute
Stating display screen is tangible formula high-clear display.
Preferably, the mobile terminal is mobile phone or computer mobile device, and the surface of the display screen is provided with two dimensional code,
The mobile terminal downloads medication reminding module and medication situation module by two dimensional code.
Preferably, the print module includes causes for pathological printing and drug list print.
Preferably, the model 6ES7231-4HF32-0XB0 of the central processing unit, the model of the central memory
For QNAPTS-428.
(3) beneficial effect
Compared with prior art, the decentralization high frequency common disease drug intelligence based on big data that the present invention provides a kind of
Can proposed algorithm, have it is following the utility model has the advantages that
1, it is somebody's turn to do the decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, patient autonomous can pass through
Measurement module measures the physical condition of patient, and contains body temperature measurer, blood-pressure measuring appliance and auscultation in measurement module
Measuring appliance, to the normal data inside the physical characteristics and contrast module of patient be compared, and to the pathology feelings of patient
Condition is analyzed, at the same by artificial intelligence to the pathology of patient come recommended drug, by print module by causes for pathological and medicine
Product inventory is printed, and carries out drug purchase in nearest pharmacy, solves patient and outpatient service or hospital is gone to diagnose
The case where wasting time facilitates people and solves to common disease, saves patient's medical time delayed.
2, it is somebody's turn to do the decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, is set on the surface of display screen
The two dimensional code set, mobile terminal download medication reminding module and medication situation module by two dimensional code, exist to facilitate patient
The stability in medication process is carried out, also the physical condition after medication can timely be fed back, prevent disease progression
Appearance, guarantee common disease can be stable is completely cured, carry out check patient body health when, pass through Ethernet
It is attached with mobile terminal, patient can be reminded to check physical condition in time, guarantee that patient fully recovers.
Detailed description of the invention
Fig. 1 is the decentralization high frequency common disease drug intelligent recommendation algorithmic system proposed by the present invention based on big data
Schematic diagram；
Fig. 2 is the decentralization high frequency common disease drug intelligent recommendation algorithm flow proposed by the present invention based on big data
Figure.
In figure: 1 central processing unit, 2 contrast modules, 3 central memories, 4 interactive modules, 41 display screens, 42 identity cards are read
Device, 43 input units, 44 cameras, 5 mobile terminals, 6 print modules, 7 data conversion modules, 8 measurement modules, 81 body temperature are taken to survey
Measuring device, 82 blood-pressure measuring appliances, 83 auscultation measuring appliances.
Specific embodiment
Below in conjunction with the embodiment of the present invention, technical solution in the embodiment of the present invention is clearly and completely retouched
It states, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the present invention
In embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Decentralization high frequency common disease drug intelligent recommendation algorithm based on big data referring to FIG. 1-2, including center
Processor 1, contrast module 2, central memory 3, interactive module 4, mobile terminal 5, print module 6, data conversion module 7 and survey
Module 8 is measured, print module 6 includes printer, and printer is one of output equipment of computer, is used for computer disposal result
It is printed upon on associated media, the index for measuring printer quality has three, print resolution, print speed and noise, printer
Type it is very much, whether have stroke to paper by type element, divide impact printer and non-impact printer, by printing
Charcter topology divides holotype word printer and dot character printer, in such a way that line inscribed is formed on paper, divide string data printer
With line printer, respectively with contrast module 2 and central memory 3 is two-way is electrically connected, central memory 3 wraps central processing unit 1
Caching and register group in memory chip are included, is the place for temporarily storing data in memory, at those in store waitings of the inside
The data of reason or processed data, processor access register used in the time than access memory time it is short, adopt
With register, it is possible to reduce processor accesses the number of memory, to improve the operating rate of processor, but because by core
Piece area sum aggregate is limited at degree, and the capacity of register group can not very greatly, and register group can be divided into special register and general post
Storage, the effect of special register be it is fixed, deposit corresponding data respectively, thus guarantee continuous in processing of data and
Stability, storage inside normal person about the various data in body temperature, blood pressure and body, the function of central processing unit 1
Data mainly in interpretive machine instruction and processing computer software, central processing unit 1 mainly includes arithmetic unit and height
Fast buffer storage and the bus for realizing the data contacted between them, control and state, it and internal storage and input or
Output equipment is collectively referred to as the big core component of electronic computer three, the model 6ES7231-4HF32-0XB0 of central processing unit 1, in
The model QNAPTS-428 of memory 3 is entreated, the input terminal of central processing unit 1 is electrically connected with the output end of interactive module 4, center
Processor 1 is connected with mobile terminal 5 by Ethernet, and mobile terminal 5 is called mobile communication terminal and refers to and can make on the move
Computer equipment, broad sense say that including mobile phone, notebook, tablet computer, POS machine include even vehicle-mounted computer, but big
Refer to mobile phone or smart phone and tablet computer with a variety of application functions under partial picture, with network and technology court
The development in more and more broadband direction, Mobile Communication Industry will move towards the real mobile message epoch, on the other hand, with
The rapid development of integrated circuit technique, the processing capacity of mobile terminal 5 have had powerful processing capacity, mobile terminal 5
Become an integrated information processing platform from simple call tool, this also increases to mobile terminal 5 more wide
Development space, mobile terminal 5 are mobile phone or computer mobile device, and the surface of display screen 41 is provided with two dimensional code, and mobile terminal 5 is logical
Cross two dimensional code downloading medication reminding module and medication situation module, central processing unit 1 respectively with print module 6 and data modulus of conversion
The two-way electrical connection of block 7, print module 6 include causes for pathological printing and drug list print, the input terminal of data conversion module 7 and
The output end of measurement module 8 is electrically connected, and interactive module 4 includes display screen 41, identification card reader 42, input unit 43 and camera shooting
First 44, the model of camera 44 can be SD-703S, and camera 44 is also known as camera computer, computer eye or electronic eyes etc., camera
44 be a kind of video input apparatus, is widely applied to video conference, tele-medicine and real time monitoring etc., display screen
41, the input terminal of identification card reader 42, input unit 43 and camera 44 is electrically connected with the output end of central processing unit 1,
The model DKQ-A16D of identification card reader 42, identification card reader 42 are a kind of to judge that whether identity card forged sets
It is standby, and the identity card true and false can effectively be identified, RFID chip is contained in Certification of Second Generation, by China second-generation identity card card reader, is read
Take the information such as stored information in identity card chip, including name, address and photo that will show one by one, Certification of Second Generation chip uses intelligence
Energy card technique, chip can not replicate, and height is anti-fake, and input unit 43 includes keyboard and mouse, and display screen 41 is tangible formula
High-clear display, measurement module 8 include body temperature measurer 81, blood-pressure measuring appliance 82, auscultate measuring appliance 83, body temperature measurer 81
Inside is electrically connected with temperature sensor, body temperature measurer 81, blood-pressure measuring appliance 82 and auscultation measuring appliance 83 with data conversion mould
The two-way electrical connection of block 7 and this method the following steps are included:
1) identity of patient is identified by identification card reader 42 and camera 44；
2) it is measured by body of the measurement module 8 to patient；
3) data in measurement module 8 are converted by data conversion module 7, and with normal person in contrast module 2
Data compare；
4) central processing unit 1 analyzes the physical condition of patient；
5) causes for pathological and drug inventory are printed by print module 6.
When in use, patient first passes through identification card reader 42 and verifies identity, while camera 44 being cooperated to be identified, protects
The authenticity of tested patient status is demonstrate,proved, then patient is measured by physical condition of the measurement module 8 to patient, detects disease
The physical condition of patient is converted to data by data conversion module 7, passes through contrast module 2 by each situation on human body
It is compared with the body data of normal person, to analyze the physical condition of patient, and preferred out by network recommendation
Then drug will be come out with the drug list print to patient the reason of being directed to patient's pathology by print module 6, facilitate patient
The case where understanding body, also facilitates patient to buy drug, improves patient and treat to common disease, meanwhile, disease
Two dimensional code on display screen 41 can also be scanned by people by mobile terminal 5, download corresponding medicining condition and medication feelings
Condition also facilitates patient to carry out Real-time Feedback to the physical condition of oneself, guarantees that stable disease is restored, while in central memory 3
The physical condition of middle storage patient and the data of rehabilitation situation, patient is sick again afterwards can corresponding case history list,
Patient is facilitated to understand oneself body.
In conclusion being somebody's turn to do the decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, patient can be certainly
Main is measured the physical condition of patient by measurement module 8, and contains body temperature measurer 81, blood pressure in measurement module 8
Measuring appliance 82 and auscultation measuring appliance 83, so that the physical characteristics of patient and the normal data inside contrast module 2 are compared,
And the pathologic condition of patient is analyzed, while by artificial intelligence to the pathology of patient come recommended drug, pass through impression block
Block 6 prints causes for pathological and drug inventory, carries out drug purchase in nearest pharmacy, solves patient and go outpatient service
Or hospital carries out diagnosis the case where wasting time, and facilitates people and solves to common disease, saves that patient is medical to be indulged in
Time accidentally, in the two dimensional code that the surface of display screen 41 is arranged, mobile terminal 5 downloads medication reminding module kimonos by two dimensional code
Medicine situation module can also carry out the physical condition after medication so that facilitating patient is carrying out the stability in medication process
It timely feeds back, prevents the appearance of disease progression, guarantee that common disease can be stable is completely cured, answered
It when looking into patient body health, is attached by Ethernet and mobile terminal 5, patient can be reminded to check physical condition in time, protected
Card patient fully recovers, and solves existing hospital when diagnosing to patient, and majority is flu, fever and the elderly
The common diseases such as high blood pressure, these common diseases can be treated by suitable drug, these patients go to hospital and are not required to
Patient is caused, for a center seen a doctor, to increase the stream of people at outpatient service with hospital or outpatient service excessively with complicated diagnosis
Amount, the problem of making troubles for medical staff.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. the decentralization high frequency common disease drug intelligent recommendation algorithm based on big data, including central processing unit (1), comparison
Module (2), central memory (3), interactive module (4), mobile terminal (5), print module (6), data conversion module (7) and survey
Measure module (8), which is characterized in that the central processing unit (1) respectively with contrast module (2) and central memory (3) two-way electricity
Connection, the input terminal of the central processing unit (1) is electrically connected with the output end of interactive module (4), the central processing unit (1) and
Mobile terminal (5) by Ethernet connect, the central processing unit (1) respectively with print module (6) and data conversion module (7)
Two-way electrical connection, the output end electrical connection of the input terminal and measurement module (8) of the data conversion module (7)；
The interactive module (4) includes display screen (41), identification card reader (42), input unit (43) and camera (44),
The display screen (41), identification card reader (42), input unit (43) and camera (44) input terminal and central processing
The output end of device (1) is electrically connected；
The measurement module (8) includes body temperature measurer (81), blood-pressure measuring appliance (82), auscultation measuring appliance (83), the body temperature
The inside of measuring appliance (81) is electrically connected with temperature sensor, and the body temperature measurer (81), blood-pressure measuring appliance (82) and auscultation are surveyed
Measuring device (83) with data conversion module (7) is two-way is electrically connected, and this method the following steps are included:
1) identity of patient is identified by identification card reader (42) and camera (44)；
2) body of patient is measured by measurement module (8)；
3) data in measurement module (8) are converted by data conversion module (7), and with it is normal in contrast module (2)
The data of people compare；
4) physical condition of central processing unit (1) analysis patient；
5) causes for pathological and drug inventory are printed by print module (6).
2. the decentralization high frequency common disease drug intelligent recommendation algorithm according to claim 1 based on big data,
It being characterized in that, the model DKQ-A16D of the identification card reader (42), the input unit (43) includes keyboard and mouse,
The display screen (41) is tangible formula high-clear display.
3. the decentralization high frequency common disease drug intelligent recommendation algorithm according to claim 1 based on big data,
It is characterized in that, the mobile terminal (5) is mobile phone or computer mobile device, and the surface of the display screen (41) is provided with two dimension
Code, the mobile terminal (5) download medication reminding module and medication situation module by two dimensional code.
4. the decentralization high frequency common disease drug intelligent recommendation algorithm according to claim 1 based on big data,
It is characterized in that, the print module (6) includes causes for pathological printing and drug list print.
5. the decentralization high frequency common disease drug intelligent recommendation algorithm according to claim 1 based on big data,
It is characterized in that, the model 6ES7231-4HF32-0XB0 of the central processing unit (1), the model of the central memory (3)
For QNAPTS-428.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111403043A (en) * | 2020-03-09 | 2020-07-10 | 武汉联影医疗科技有限公司 | Resource recommendation method and server based on Internet of things |
| CN111814061A (en) * | 2020-09-07 | 2020-10-23 | 耀方信息技术(上海)有限公司 | Medicine searching method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050114170A1 (en) * | 2002-01-08 | 2005-05-26 | Si-Woo Park | Remote medical treating method and system with local wireless interface |
| CN1822043A (en) * | 2006-03-08 | 2006-08-23 | 张士东 | Network hospital system for keeping direct connection with vulnerable crowd or patient |
| CN103279665A (en) * | 2013-05-29 | 2013-09-04 | 美合实业（苏州）有限公司 | Multi-user and multi-parameter wireless detection, diagnosis, service and monitoring method |
| CN108538398A (en) * | 2018-04-18 | 2018-09-14 | 苏州三体智能科技有限公司 | Intelligent medicine-selling system and method |
-
2019
- 2019-01-29 CN CN201910084138.7A patent/CN109584987A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050114170A1 (en) * | 2002-01-08 | 2005-05-26 | Si-Woo Park | Remote medical treating method and system with local wireless interface |
| CN1822043A (en) * | 2006-03-08 | 2006-08-23 | 张士东 | Network hospital system for keeping direct connection with vulnerable crowd or patient |
| CN103279665A (en) * | 2013-05-29 | 2013-09-04 | 美合实业（苏州）有限公司 | Multi-user and multi-parameter wireless detection, diagnosis, service and monitoring method |
| CN108538398A (en) * | 2018-04-18 | 2018-09-14 | 苏州三体智能科技有限公司 | Intelligent medicine-selling system and method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111403043A (en) * | 2020-03-09 | 2020-07-10 | 武汉联影医疗科技有限公司 | Resource recommendation method and server based on Internet of things |
| CN111814061A (en) * | 2020-09-07 | 2020-10-23 | 耀方信息技术(上海)有限公司 | Medicine searching method and system |
| CN111814061B (en) * | 2020-09-07 | 2021-06-29 | 耀方信息技术(上海)有限公司 | Medicine searching method and system |
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