CN109935290A - A kind of drug matching system and its matching process based on big data analysis - Google Patents
A kind of drug matching system and its matching process based on big data analysis Download PDFInfo
- Publication number
- CN109935290A CN109935290A CN201910211141.0A CN201910211141A CN109935290A CN 109935290 A CN109935290 A CN 109935290A CN 201910211141 A CN201910211141 A CN 201910211141A CN 109935290 A CN109935290 A CN 109935290A
- Authority
- CN
- China
- Prior art keywords
- information
- patient
- drug
- data analysis
- big data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
- Medical Preparation Storing Or Oral Administration Devices (AREA)
Abstract
The invention discloses a kind of drug matching system based on big data analysis, comprising: memory, the memory module two including memory module one and storage medicine information for storing patient information；Big data analysis module can call patient information and medicine information in memory, go out illnesses according to this symptom of medical patient main suit analyzing and diagnosing, and combine the applicable drug in patient information matching medicine information；Information exchange module, for carrying out information exchange.The present invention also proposes a kind of matching process of drug matching system based on big data analysis, million patient history's case histories, medication and diagnosis are stored as sample, it is modeled by big data analysis, then go out disease according to information diagnosis such as the symptom main suits for the patient that goes to a doctor, furthermore, by all medicine information input systems that pharmacy pharmacy is on sale, when the information such as input patient symptom, allergies can accurately match applicable drug, it is also to have good effect that new drug, which is promoted,.
Description
Technical field
The present invention relates to the matched technical fields of drug, and in particular to a kind of drug matching system based on big data analysis
And its matching process.
Background technique
Current China medical resource is very in short supply, and each outpatient service, pharmacy are overstaffed, and especially some Outpatient Dispensaries are in influenza
High-incidence period is even more to stand in a long queue.Traditional diagnostic mode mainly leans on medical staff's knowledge accumulation, in some cases inevitably meeting
Have and ponder over inconsiderate situation, this mode can not only reduce efficiency, but also consider the not full-time effect of drugs that will lead to offer not
It is good.
Currently, drug on sale has more than 20 ten thousand on the market, the method for service of traditional pharmacy mainly curative activity people first
Then member provides corresponding drug according to the file diagnostics illness such as patient main suit or case history, and the drug inventory in pharmacy is general
In the case of update and not in time can look into and look inconvenient；Also some pharmacies can make a drug inventory by oneself, cover common disease
Then disease description and symptomatic drugs provide corresponding diagnosis and drug according to inventory.Both modes all rely on medical staff's
Mental and medication habit, so also can all have a significant impact in new drug popularization.
For this purpose, the present invention proposes a kind of drug matching system and its matching process based on big data analysis.
Summary of the invention
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to provide a kind of drug matching system based on big data analysis
System and its matching process can promptly recommend suitable drug, realize intelligent diagnostics, while can also solve new drug and promote slowly
Problem.
In order to solve the above-mentioned technical problem, it adopts the following technical scheme that
A kind of drug matching system based on big data analysis, comprising:
Memory, the memory module two including memory module one and storage medicine information for storing patient information；
Big data analysis module can call patient information and medicine information in memory, according to medical patient this
Symptom main suit analyzing and diagnosing goes out illnesses, and combines the applicable drug in patient information matching medicine information；
Information exchange module, for carrying out information exchange.
Further, the big data analysis module is using distributed batch processing frame Apache Hadoop, the letter
Cease interactive module and the memory communicate to connect, can in the information exchange module typing patient information and newly-increased
Information, and the applicable drug that information exchange module can will match to is presented to the user.
Further, whether the newly-added information includes whether standby pregnant, is pregnant, newly-increased allergic drug.
Further, the patient information include ID card information, social security information, gender, the age, contact method, name,
History case history, medication, allergic drug.
Further, the medicine information includes nomenclature of drug, operation instruction, indication, avoids and be used with caution information.
It further, further include expansion connection module, the expansion connection module is connect with the information exchange module,
The expansion connection module being capable of external printing device.
The present invention also proposes a kind of matching process of drug matching system based on big data analysis, includes the following steps:
S1, it is stored in memory module one using all patient informations for having record as sample, pharmacy pharmacy is on sale
Medicine information is stored in memory module two；
S2, big data analysis module carry out analysis modeling, call the patient information in memory module one, are calculated by study
Establish that symptom-disease-drug corresponds to table and patient information-disease corresponds to table；Call the drug letter in memory module two
Breath is calculated applicable disease-drug-taboo by study and corresponding table is used with caution, and is stored in memory；
S3, the identity information of patient of being gone to a doctor by information exchange module typing, big data analysis module is according to the medical trouble
The identity information of person table corresponding with patient information-disease matches, if matching enters step S4 less than patient information；
If matched arrive, S5 is entered step；
S4, in information exchange module the typing medical patient patient information, including ID card information, social security information,
Gender, age, contact method, name, history case history, medication, allergic drug, and the patient information of the patient that goes to a doctor is added to
In memory module one, and patient information-disease is updated to by big data analysis module and is corresponded in table, enters step S5；
S5, medical this symptom of patient of input and newly-added information, big data analysis module are analyzed, according to medical patient
This symptom, analyze and calculate the corresponding disease of symptom in table corresponding with symptom-disease-drug, and combine medical
History allergic drug, newly-added information and the history case history of patient be used with caution in corresponding table from disease-drug-taboo match it is applicable
In the drug of the patient that goes to a doctor；
The nomenclature of drug that the disease of medical patient and matching obtain finally is passed through information exchange by S6, big data analysis module
Module shows.
Further, in the S5 step, if medical patient does not have newly-added information, without input.
Further, in the S5 step, after being diagnosed to be this illnesses of medical patient and matching rear drug, by this
Disease table corresponding with patient information-disease is matched, if matching is less than the disease to be added to and the patient that goes to a doctor
In corresponding patient information, and updates patient information-disease and correspond to table.
As a result of the above technical solution, the following beneficial effects are obtained:
The present invention is a kind of drug matching system based on big data analysis, by million patient history's case histories, medication and is examined
It is disconnected to be stored as sample, it is modeled by big data analysis, then according to information such as the symptom main suits for the patient that goes to a doctor, is based on big data
Analysis is rapidly and accurately diagnosed to be disease, in addition, all medicine information input systems that pharmacy pharmacy is on sale, system can be by medicine
All information of product are analyzed, when the information such as input patient symptom, allergies can accurately provide applicable drug, for new drug
Promote is also to have good effect.The present invention can promptly recommend suitable drug, realize intelligent diagnostics, while can also solve
New drug promotes slow problem.
Detailed description of the invention
The present invention will be further explained below with reference to the attached drawings:
Fig. 1 is a kind of system block diagram of drug matching system based on big data analysis of the embodiment of the present invention one；
Fig. 2 is a kind of system block diagram of drug matching system based on big data analysis of the embodiment of the present invention two；
Fig. 3 is a kind of flow chart of the matching process of the drug matching system based on big data analysis in the present invention.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, below by accompanying drawings and embodiments, to this
Invention is further elaborated.However, it should be understood that the specific embodiments described herein are merely illustrative of the present invention,
The range being not intended to restrict the invention.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to keep away
Exempt from unnecessarily to obscure idea of the invention.
Embodiment one,
Refering to fig. 1, a kind of drug matching system based on big data analysis, comprising:
Memory, the memory module two including memory module one and storage medicine information for storing patient information；
Big data analysis module can call patient information and medicine information in memory, according to medical patient this
Symptom main suit analyzing and diagnosing goes out illnesses, and combines the applicable drug in patient information matching medicine information；
Information exchange module, for carrying out information exchange.
Further, the big data analysis module uses distribution batch processing frame Apache Hadoop, described
Information exchange module and the memory communicate to connect, can in the information exchange module typing patient information and new
Increase information (include whether standby pregnant, whether be pregnant, newly-increased allergic drug etc.), and information exchange module can will match to it is suitable
It is presented to the user with drug.
Wherein, the patient information includes ID card information, social security information, gender, the age, contact method, name, goes through
History case history, medication, allergic drug etc.；The medicine information includes nomenclature of drug, operation instruction, indication, avoids and be used with caution
Information etc..
Refering to Fig. 3, the present invention also proposes the matching process of the drug matching system based on big data analysis, including as follows
Step:
S1, it is stored in memory module one using all patient informations for having record as sample, pharmacy pharmacy is on sale
Medicine information is stored in memory module two.
S2, big data analysis module carry out analysis modeling, call the patient information in memory module one, are calculated by study
Establish that symptom-disease-drug corresponds to table and patient information-disease corresponds to table；Call the drug letter in memory module two
Breath is calculated applicable disease-drug-taboo by study and corresponding table is used with caution, and is stored in memory.
S3, the identity information of patient of being gone to a doctor by information exchange module typing, big data analysis module is according to the medical trouble
The identity information of person table corresponding with patient information-disease matches, if matching enters step S4 less than patient information；
If matched arrive, S5 is entered step.
S4, in information exchange module the typing medical patient patient information, including ID card information, social security information,
Gender, age, contact method, name, history case history, medication, allergic drug, and the patient information of the patient that goes to a doctor is added to
In memory module one, and patient information-disease is updated to by big data analysis module and is corresponded in table, enters step S5.
S5, medical this symptom of patient and newly-added information are inputted, if medical patient do not have newly-added information (whether standby pregnant,
Whether it is pregnant, whether is baby, newly-increased allergic drug etc.), then without input, big data analysis module is analyzed, according to just
The information such as this symptom of patient are examined, analyze and calculate the corresponding disease of symptom in table corresponding with symptom-disease-drug
Disease, and combine history allergic drug, newly-added information and the history case history of medical patient that correspondence is used with caution from disease-drug-taboo
The drug suitable for the patient that goes to a doctor is matched in table, and disease table corresponding with patient information-disease is matched,
If the disease less than being added in patient information corresponding with the patient that goes to a doctor, and update patient information-disease by matching
The corresponding table of disease.
The nomenclature of drug that the disease of medical patient and matching obtain finally is passed through information exchange by S6, big data analysis module
Module shows.
Embodiment two,
Referring to Fig.2, a kind of drug matching system based on big data analysis, further includes extension on the basis of example 1
Interface module, the expansion connection module are connect with the information exchange module, and the expansion connection module can be outer
Printing apparatus is taken, diagnosis and treatment list can be printed by external printing device.The matching process of the drug matching system is the same as embodiment one.
Traditional data analysis is " causality analysis ", and big data analysis is " association analysis ".The generation of disease is not
Single source, so simple causality can not accomplish to suit the remedy to the case completely.Big data processing frame have batch processing frame,
Stream process frame and combination frame.In embodiments of the present invention, using distributed batch processing frame Apache Hadoop,
The design that the frame of Apache Hadoop is most crucial is exactly: HDFS and MapReduce.HDFS is a kind of distributed file system
Layer, can between clustered node storage and duplication coordinate, HDFS ensures data after unavoidable node failure occurs
It still can be used, data source storage can be used as；MapReduce is the primary batch processing engine of Hadoop, be can handle non-
The data set of Chang Hailiang.It can be with according to its history case history, administration data and this symptom main suit etc. when patient takes medicine to go to a doctor
It is rapidly and accurately diagnosed to be disease using this system, using machine learning accuracy rate of diagnosis up to 99% or more.
On the other hand, the problem of selecting suitable drug to be also current objective reality after the completion of diagnosis, in the present invention, meeting
By all medicine information input systems that pharmacy pharmacy is on sale, wherein being mainly to adapt to symptom, avoid and be used with caution etc. information.Mesh
Preceding common drug inquiry may be to need special population not for pregnant woman, baby etc. according to keyword queries such as indications
It is applicable in completely.This system can analyze all information of drug, can be quasi- in conjunction with information such as patient symptom, feature, allergies
Really provide applicable drug.Certainly, it is also to have good effect that this mode, which promotes new drug, can be to new drug plus special
Mark, similar drug can sort new drug forward when push.
It in embodiments of the present invention, can be periodically to the drug in the patient information and memory module two in memory module one
Information is updated, and carries out analysis modeling by big data analysis module, is established symptom-disease-drug and is corresponded to table, patient
Information-disease corresponds to table and corresponding table is used with caution in applicable disease-drug-taboo.
The constitution for being primarily due to people is different, but sees that a certain secondary symptom can not accurately be inferred to the cause of disease, but also to pay close attention to
Its drug allergy history etc., the present invention are complete according to these data modeling by analyzing patient history's case history and administration data
At medical diagnosis on disease；After the completion of diagnosis, system according to patient model (including history disease, allergic drug, youth etc. patient believe
Breath) applicable drug is timely and accurately oriented, it realizes intelligent diagnostics, is of great importance in quick diagnosis, new drug popularization practical.
The above is only specific embodiments of the present invention, but technical characteristic of the invention is not limited thereto.It is any with this hair
Based on bright, to solve essentially identical technical problem, essentially identical technical effect is realized, made ground simple change, etc.
With replacement or modification etc., all it is covered by among protection scope of the present invention.
Claims (9)
1. a kind of drug matching system based on big data analysis characterized by comprising
Memory, the memory module two including memory module one and storage medicine information for storing patient information；
Big data analysis module can call patient information and medicine information in memory, according to this symptom of medical patient
Main suit's analyzing and diagnosing goes out illnesses, and combines the applicable drug in patient information matching medicine information；
Information exchange module, for carrying out information exchange.
2. a kind of drug matching system based on big data analysis according to claim 1, it is characterised in that: described is big
Data analysis module is using distributed batch processing frame Apache Hadoop, the information exchange module and the storage
Device communication connection, can in the information exchange module typing patient information and newly-added information, and information exchange module
The applicable drug that can be will match to is presented to the user.
3. a kind of drug matching system based on big data analysis according to claim 2, it is characterised in that: described is new
Increase information include whether standby pregnant, whether be pregnant, whether be baby, newly-increased allergic drug.
4. existing according to claim 1 to a kind of drug matching system based on big data analysis, feature described in 2 any one
In: the patient information includes ID card information, social security information, gender, the age, contact method, name, history case history, uses
Medicine, allergic drug.
5. existing according to claim 1 to a kind of drug matching system based on big data analysis, feature described in 2 any one
In: the medicine information includes nomenclature of drug, operation instruction, indication, avoids and be used with caution information.
6. existing according to claim 1 to a kind of drug matching system based on big data analysis, feature described in 2 any one
In: it further include expansion connection module, the expansion connection module is connect with the information exchange module, and the extension connects
Mouth mold block being capable of external printing device.
7. a kind of matching process of the drug matching system based on big data analysis, characterized by the following steps:
S1, it is stored in memory module one using all patient informations for having record as sample, by the drug that pharmacy pharmacy is on sale
Information is stored in memory module two；
S2, big data analysis module carry out analysis modeling, call the patient information in memory module one, are calculated and are established by study
Symptom-disease-drug corresponds to table and patient information-disease corresponds to table；The medicine information in memory module two is called, is led to
Overfitting is calculated applicable disease-drug-taboo and corresponding table is used with caution, and is stored in memory；
S3, the identity information of patient of being gone to a doctor by information exchange module typing, big data analysis module go to a doctor patient's according to this
Identity information table corresponding with patient information-disease is matched, if matching enters step S4 less than patient information；If
It is matched to arrive, then enter step S5；
S4, in information exchange module the typing medical patient patient information, including ID card information, social security information, gender,
Age, contact method, name, history case history, medication, allergic drug, and the patient information of the patient that goes to a doctor is added to storage
In module one, and patient information-disease is updated to by big data analysis module and is corresponded in table, enters step S5；
S5, medical this symptom of patient of input and newly-added information, big data analysis module are analyzed, according to the sheet of medical patient
The corresponding disease of symptom in table corresponding with symptom-disease-drug is analyzed and calculated to secondary symptom, and combines medical patient
History allergic drug, newly-added information and history case history be used with caution in corresponding table from disease-drug-taboo match be suitable for should
The drug of medical patient；
The nomenclature of drug that the disease of medical patient and matching obtain finally is passed through information exchange module by S6, big data analysis module
It shows.
8. a kind of matching process of drug matching system based on big data analysis according to claim 7, feature exist
In: in the S5 step, if medical patient does not have newly-added information, without input.
9. a kind of matching process of drug matching system based on big data analysis according to claim 7, feature exist
In: in the S5 step, after being diagnosed to be this illnesses of medical patient and matching rear drug, the disease and patient are believed
Breath-disease corresponds to table and is matched, if matching is less than being added to corresponding with the patient that goes to a doctor patient for the disease and believe
In breath, and updates patient information-disease and correspond to table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910211141.0A CN109935290A (en) | 2019-03-20 | 2019-03-20 | A kind of drug matching system and its matching process based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910211141.0A CN109935290A (en) | 2019-03-20 | 2019-03-20 | A kind of drug matching system and its matching process based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109935290A true CN109935290A (en) | 2019-06-25 |
Family
ID=66987785
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910211141.0A Pending CN109935290A (en) | 2019-03-20 | 2019-03-20 | A kind of drug matching system and its matching process based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109935290A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110727654A (en) * | 2019-10-24 | 2020-01-24 | 北京锐安科技有限公司 | Data extraction method and device for distributed system, server and storage medium |
| CN111192650A (en) * | 2019-12-25 | 2020-05-22 | 浙江大学 | Prescription information pushing method and device based on parenteral nutrition and computer equipment |
| CN112309057A (en) * | 2020-10-26 | 2021-02-02 | 北京小乔机器人科技发展有限公司 | Robot settlement system |
| CN112307345A (en) * | 2020-11-09 | 2021-02-02 | 上海明略人工智能(集团)有限公司 | Method and system for intelligent diagnosis based on sensory perception |
| CN112542232A (en) * | 2020-11-26 | 2021-03-23 | 杭州杏林信息科技有限公司 | Method and system for automatically monitoring number of antibacterial drug users in observation period based on MapReduce and big data |
| CN112802575A (en) * | 2021-04-10 | 2021-05-14 | 浙江大学 | Medication decision support method, device, equipment and medium based on graphic state machine |
| CN113870973A (en) * | 2021-09-27 | 2021-12-31 | 平安国际智慧城市科技股份有限公司 | Information output method, device, computer equipment and medium based on artificial intelligence |
| CN117633340A (en) * | 2023-08-14 | 2024-03-01 | 江南大学附属医院 | Method and system for recommending common medicines for specific diseases and symptoms based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104200069A (en) * | 2014-08-13 | 2014-12-10 | 周晋 | Drug use recommendation system and method based on symptom analysis and machine learning |
| WO2015023188A1 (en) * | 2013-08-12 | 2015-02-19 | Your.Md As | Method and arrangement for finding a second opinion for disease using modern database, search & matching technology integrated with a social media |
| CN104517038A (en) * | 2014-12-30 | 2015-04-15 | 杨关乐 | Disease diagnosis system server principle |
| CN107330288A (en) * | 2017-07-10 | 2017-11-07 | 叮当（深圳）健康机器人科技有限公司 | A kind of medication information acquisition method and device |
| CN109087691A (en) * | 2018-08-02 | 2018-12-25 | 科大智能机器人技术有限公司 | A kind of OTC drugs recommender system and recommended method based on deep learning |
| CN109102855A (en) * | 2018-07-03 | 2018-12-28 | 北京康夫子科技有限公司 | Drug recommended method |
-
2019
- 2019-03-20 CN CN201910211141.0A patent/CN109935290A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015023188A1 (en) * | 2013-08-12 | 2015-02-19 | Your.Md As | Method and arrangement for finding a second opinion for disease using modern database, search & matching technology integrated with a social media |
| CN104200069A (en) * | 2014-08-13 | 2014-12-10 | 周晋 | Drug use recommendation system and method based on symptom analysis and machine learning |
| CN104517038A (en) * | 2014-12-30 | 2015-04-15 | 杨关乐 | Disease diagnosis system server principle |
| CN107330288A (en) * | 2017-07-10 | 2017-11-07 | 叮当（深圳）健康机器人科技有限公司 | A kind of medication information acquisition method and device |
| CN109102855A (en) * | 2018-07-03 | 2018-12-28 | 北京康夫子科技有限公司 | Drug recommended method |
| CN109087691A (en) * | 2018-08-02 | 2018-12-25 | 科大智能机器人技术有限公司 | A kind of OTC drugs recommender system and recommended method based on deep learning |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110727654A (en) * | 2019-10-24 | 2020-01-24 | 北京锐安科技有限公司 | Data extraction method and device for distributed system, server and storage medium |
| CN110727654B (en) * | 2019-10-24 | 2022-02-18 | 北京锐安科技有限公司 | Data extraction method and device for distributed system, server and storage medium |
| CN111192650A (en) * | 2019-12-25 | 2020-05-22 | 浙江大学 | Prescription information pushing method and device based on parenteral nutrition and computer equipment |
| CN111192650B (en) * | 2019-12-25 | 2021-07-30 | 浙江大学 | Prescription information pushing method and device based on parenteral nutrition and computer equipment |
| CN112309057A (en) * | 2020-10-26 | 2021-02-02 | 北京小乔机器人科技发展有限公司 | Robot settlement system |
| CN112307345A (en) * | 2020-11-09 | 2021-02-02 | 上海明略人工智能(集团)有限公司 | Method and system for intelligent diagnosis based on sensory perception |
| CN112542232A (en) * | 2020-11-26 | 2021-03-23 | 杭州杏林信息科技有限公司 | Method and system for automatically monitoring number of antibacterial drug users in observation period based on MapReduce and big data |
| CN112802575A (en) * | 2021-04-10 | 2021-05-14 | 浙江大学 | Medication decision support method, device, equipment and medium based on graphic state machine |
| CN112802575B (en) * | 2021-04-10 | 2021-09-03 | 浙江大学 | Medication decision support method, device, equipment and medium based on graphic state machine |
| CN113870973A (en) * | 2021-09-27 | 2021-12-31 | 平安国际智慧城市科技股份有限公司 | Information output method, device, computer equipment and medium based on artificial intelligence |
| CN117633340A (en) * | 2023-08-14 | 2024-03-01 | 江南大学附属医院 | Method and system for recommending common medicines for specific diseases and symptoms based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109935290A (en) | A kind of drug matching system and its matching process based on big data analysis | |
| US11468975B2 (en) | Medication reconciliation system and method | |
| US10325335B1 (en) | Facilitating computerized interactions with EMRs | |
| CN108281195A (en) | A kind of management method and system of medical data | |
| CN108010573A (en) | A kind of hospital data emerging system, method, electronic equipment and storage medium | |
| US20040162835A1 (en) | System and method for generating patient-specific prescription drug safety instructions | |
| CN105389619A (en) | Methods and systems for improving connections within healthcare ecosystem | |
| US20110218821A1 (en) | Health care device and systems and methods for using the same | |
| CN109036545A (en) | Medical information processing method, device, computer equipment and storage medium | |
| CN106919608A (en) | Medical data processing method, device and platform | |
| CN111667927A (en) | ZigBee network intelligent medical system and acquisition node networking method thereof | |
| US20190108264A1 (en) | System prototype of intelligent regional mobile healthcare integrated data center based on metadata | |
| CN109671476A (en) | Recognition methods, device, terminal and the computer readable storage medium of unrelated medication | |
| CN111985892A (en) | Sustainable internet endowment ecosphere service platform system | |
| CN108028074A (en) | Patient coordinate's system and method | |
| CN112489781B (en) | Medical system based on cloud computing and registration method thereof | |
| CN111667915A (en) | Intelligent medical system with disease reasoning and diagnosis method thereof | |
| CN111540460A (en) | Intelligent medical system with knowledge base and diagnosis method thereof | |
| WO2017157033A1 (en) | Smart ward information center system | |
| Mageroski et al. | Impact of wireless communications technologies on elder people healthcare: Smart home in Australia | |
| CN113096795B (en) | Multi-source data-aided clinical decision support system and method | |
| TWI703579B (en) | Cloud-based medicine service management system | |
| Rasubala et al. | Digital twin roles in public healthcare | |
| CN112489780A (en) | Medical system based on cloud computing and diagnosis receiving method thereof | |
| CN106650214A (en) | Medicine getting and taking prompting system and method for medical care management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190625 |