CN111986812A - Internet-based gynecological disease medical diagnosis and treatment control system - Google Patents
Internet-based gynecological disease medical diagnosis and treatment control system Download PDFInfo
- Publication number
- CN111986812A CN111986812A CN202010878758.0A CN202010878758A CN111986812A CN 111986812 A CN111986812 A CN 111986812A CN 202010878758 A CN202010878758 A CN 202010878758A CN 111986812 A CN111986812 A CN 111986812A
- Authority
- CN
- China
- Prior art keywords
- patient
- module
- diagnosis
- treatment
- examination
- 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.)
- Withdrawn
Links
Images
Classifications
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
-
- 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
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
-
- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- 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
- G16H50/20—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
-
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the field of medical systems, in particular to an internet-based gynecological disease medical diagnosis and treatment control system, which comprises a patient terminal, a doctor terminal and a server, wherein the patient terminal, the doctor terminal and the server are communicated through the internet; the doctor terminal is internally provided with a registration login module, a patient parameter acquisition module, a patient disease evaluation module and a patient disease diagnosis and treatment module. The invention realizes the intelligent pre-examination of the patient in a questionnaire mode, realizes the recommendation of the detection items based on a BP neural network model, can greatly shorten the time spent by the patient in a hospital while reducing the workload of doctors, and simultaneously realizes the tracking and the return visit of the symptoms of the patient after the visit.
Description
Technical Field
The invention relates to the field of medical systems, in particular to an internet-based gynecological disease medical diagnosis and treatment control system.
Background
At present, with the increasing population of China, the medical problems become more and more obvious. At present, the registration of record of seeing a doctor is carried out to the most mode that still adopts artifical handwriting record to present patient's process of diagnosing, and when the inefficiency, be unfavorable for the statistics of later stage data, all examination items all need the doctor to write out the inspection list after simultaneously, just can make an appointment and queue up to prolonged patient's latency greatly, and the patient's condition of illness that the patient saw a doctor after all need wait the patient just can acquire when going to the hospital next time, delays the patient to a certain extent easily.
Disclosure of Invention
In order to solve the problems, the invention provides an Internet-based gynecological disease medical diagnosis and treatment control system.
In order to achieve the purpose, the invention adopts the technical scheme that:
the utility model provides a gynaecology and obstetrics disease medical treatment control system that diagnoses based on internet, includes patient terminal, doctor terminal and the server that realizes the communication through the internet, patient terminal carries:
the registration login module is used for realizing real-name registration login of the patient;
the patient symptom acquisition module is used for recording patient symptom parameters in a questionnaire mode;
the examination item recommending module is used for recommending examination items according to the symptom information of the patient;
the examination item reservation module is used for realizing reservation of the examination item selected by the patient;
the system comprises a treatment record registration module, a diagnosis processing module and a diagnosis processing module, wherein the treatment record registration module is used for realizing registration of each treatment record in a form of a table, and each treatment record comprises treatment time, symptom information, doctor information, examination items, examination result information, treatment result information and medical advice information;
the doctor terminal internally carries:
the registration login module is used for realizing real-name registration login of a doctor;
the patient parameter acquisition module is used for realizing the acquisition of patient symptoms and the acquisition of result parameters of all examination items;
the patient disease evaluation module is used for realizing the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on a preset model;
and the patient disease diagnosis and treatment module is used for realizing the input of diagnosis and treatment results and medical advice information of the patient.
In this embodiment, the examination item recommendation module firstly outputs data of examination items to be recommended according to symptom parameters of a patient through a BP neural network model, then starts a web crawler module to crawl historical visit data of the patient, excavates examination item information which is in line with the examination items which do not need to be detected again, and then rejects the examination items which do not need to be detected again in the data of the examination items to be recommended, so as to obtain recommended detection items, wherein the recommended detection items include selectable items and necessary items, and the patient can perform selection of the selectable items as required.
Further, the BP neural network model is obtained by training based on historical patient symptom parameters and corresponding information of items to be checked, the input item is the patient symptom parameters, and the output item is the information of the items to be checked.
Further, the medical patient monitoring system further comprises a vital sign data acquisition device provided with a wireless communication module and used for acquiring patient vital sign data and distributing the acquired vital sign data to the corresponding patient terminal and the corresponding doctor terminal after the acquired vital sign data are stored by the server.
Further, the patient disease evaluation module realizes the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on the Bayesian prediction model.
Further, the patient terminal also internally loads:
the diagnosis and treatment plan planning module is used for planning a patient diagnosis and treatment plan according to the diagnosis and treatment result information and the doctor's advice information;
and the diagnosis and treatment plan reminding module is used for realizing the timing reminding of the diagnosis and treatment plan of the patient.
Further, the patient terminal also internally loads:
and the timing revising module is used for performing timing revising in a mode of popping up a dialog box according to the diagnosis and treatment result information and revising the diagnosis and treatment plan of the patient according to the result of the timing revising.
The invention has the following beneficial effects:
1) the intelligent pre-examination of the patient is realized in a questionnaire mode, the recommendation of detection items is realized based on a BP neural network model, the workload of doctors can be reduced, and the time spent by the patient in a hospital can be greatly shortened;
2) the registration and the summarization of each diagnosis record are realized, and the calling and the statistics of later data are greatly facilitated;
3) the patient symptom after the visit is tracked and revisited, so that the visit plan can be revised in time according to the condition of the patient, and the delay of the illness state is avoided.
Drawings
Fig. 1 is a system block diagram of an internet-based gynecological medical diagnosis and treatment control system according to embodiment 1 of the present invention.
Fig. 2 is a system block diagram of an internet-based gynecological medical diagnosis and treatment control system in embodiment 2 of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an internet-based gynecological medical treatment control system, including a patient terminal, a doctor terminal and a server, which implement communication via the internet, wherein both the patient terminal and the doctor terminal adopt APP modes and support computer and mobile phone terminal login; the patient terminal internally carries:
the registration login module is used for realizing real-name registration login of the patient;
the patient symptom acquisition module is used for recording patient symptom parameters in a questionnaire mode;
the examination item recommending module is used for recommending examination items according to the symptom information of the patient;
the examination item reservation module is used for realizing reservation of the examination item selected by the patient;
the system comprises a treatment record registration module, a diagnosis processing module and a diagnosis processing module, wherein the treatment record registration module is used for realizing registration of each treatment record in a form of a table, and each treatment record comprises treatment time, symptom information, doctor information, examination items, examination result information, treatment result information and medical advice information;
the doctor terminal internally carries:
the registration login module is used for realizing real-name registration login of a doctor;
the patient parameter acquisition module is used for realizing the acquisition of patient symptoms and the acquisition of result parameters of all examination items;
the patient disease evaluation module is used for realizing the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on a preset model;
and the patient disease diagnosis and treatment module is used for realizing the input of diagnosis and treatment results and medical advice information of the patient.
In this embodiment, the examination item recommendation module firstly outputs data of examination items to be recommended according to symptom parameters of a patient through a BP neural network model, then starts a web crawler module to crawl historical visit data of the patient, excavates examination item information which is in line with the examination items which do not need to be detected again, and then rejects the examination items which do not need to be detected again in the data of the examination items to be recommended, so as to obtain recommended detection items, wherein the recommended detection items include selectable items and necessary items, and the patient can perform selection of the selectable items as required. The BP neural network model is obtained by training based on historical patient symptom parameters and corresponding information of items to be checked, the input item is the patient symptom parameters, and the output item is the information of the items to be checked.
In this embodiment, still including the vital sign data acquisition device who disposes wireless communication module, including ear thermometer, sphygmomanometer etc for carry out the collection of patient's vital sign data, and distribute to corresponding patient terminal and doctor terminal after the vital sign data that will gather are stored through the server.
In this embodiment, the patient disease assessment module pre-assesses the gynecological disease of the patient according to the patient symptom parameters and the result parameters of each examination item based on a bayesian prediction model, and the bayesian prediction model is trained according to the expert diagnosis result data corresponding to the historical patient symptom parameters and the result parameters of each examination item.
Example 2
As shown in fig. 2, an embodiment of the present invention provides an internet-based gynecological medical treatment control system, including a patient terminal, a doctor terminal and a server, which implement communication via the internet, wherein both the patient terminal and the doctor terminal adopt APP modes and support computer and mobile phone terminal login; the patient terminal internally carries:
the registration login module is used for realizing real-name registration login of the patient;
the patient symptom acquisition module is used for recording patient symptom parameters in a questionnaire mode;
the examination item recommending module is used for recommending examination items according to the symptom information of the patient;
the examination item reservation module is used for realizing reservation of the examination item selected by the patient;
the system comprises a treatment record registration module, a diagnosis processing module and a diagnosis processing module, wherein the treatment record registration module is used for realizing registration of each treatment record in a form of a table, and each treatment record comprises treatment time, symptom information, doctor information, examination items, examination result information, treatment result information and medical advice information;
the diagnosis and treatment plan planning module is used for planning a patient diagnosis and treatment plan according to the diagnosis and treatment result information and the doctor's advice information;
the diagnosis and treatment plan reminding module is used for realizing the timing reminding of the diagnosis and treatment plan of the patient;
the timing revisiting module is used for revising the diagnosis and treatment plan of the patient according to the diagnosis and treatment result information in a mode of popping up a dialog box, revising the diagnosis and treatment plan of the patient according to the result of the timing revising, revising in a questionnaire mode, calling different questionnaire templates for different diagnosis and treatment results, and when the symptoms of the patient are not relieved within a preset time, advancing the revising plan and opening a green registration channel for the patient;
the doctor terminal internally carries:
the registration login module is used for realizing real-name registration login of a doctor;
the patient parameter acquisition module is used for realizing the acquisition of patient symptoms and the acquisition of result parameters of all examination items;
the patient disease evaluation module is used for realizing the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on a preset model;
and the patient disease diagnosis and treatment module is used for realizing the input of diagnosis and treatment results and medical advice information of the patient.
In this embodiment, the examination item recommendation module firstly outputs data of examination items to be recommended according to symptom parameters of a patient through a BP neural network model, then starts a web crawler module to crawl historical visit data of the patient, excavates examination item information which is in line with the examination items which do not need to be detected again, and then rejects the examination items which do not need to be detected again in the data of the examination items to be recommended, so as to obtain recommended detection items, wherein the recommended detection items include selectable items and necessary items, and the patient can perform selection of the selectable items as required. The BP neural network model is obtained by training based on historical patient symptom parameters and corresponding information of items to be checked, the input item is the patient symptom parameters, and the output item is the information of the items to be checked.
In this embodiment, still including the vital sign data acquisition device who disposes wireless communication module, including ear thermometer, sphygmomanometer etc for carry out the collection of patient's vital sign data, and distribute to corresponding patient terminal and doctor terminal after the vital sign data that will gather are stored through the server.
In this embodiment, the patient disease assessment module pre-assesses the gynecological disease of the patient according to the patient symptom parameters and the result parameters of each examination item based on a bayesian prediction model, and the bayesian prediction model is trained according to the expert diagnosis result data corresponding to the historical patient symptom parameters and the result parameters of each examination item.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. The utility model provides a gynaecology and obstetrics disease medical treatment control system based on internet, includes patient's terminal, doctor's terminal and the server that realizes the communication through the internet, its characterized in that: the patient terminal internally carries:
the registration login module is used for realizing real-name registration login of the patient;
the patient symptom acquisition module is used for recording patient symptom parameters in a questionnaire mode;
the examination item recommending module is used for recommending examination items according to the symptom information of the patient;
the examination item reservation module is used for realizing reservation of the examination item selected by the patient;
the system comprises a treatment record registration module, a diagnosis processing module and a diagnosis processing module, wherein the treatment record registration module is used for realizing registration of each treatment record in a form of a table, and each treatment record comprises treatment time, symptom information, doctor information, examination items, examination result information, treatment result information and medical advice information;
the doctor terminal internally carries:
the registration login module is used for realizing real-name registration login of a doctor;
the patient parameter acquisition module is used for realizing the acquisition of patient symptoms and the acquisition of result parameters of all examination items;
the patient disease evaluation module is used for realizing the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on a preset model;
and the patient disease diagnosis and treatment module is used for realizing the input of diagnosis and treatment results and medical advice information of the patient.
2. The internet-based gynecological medical treatment control system of claim 1, wherein: the examination item recommending module firstly outputs examination item data to be recommended according to symptom parameters of a patient through a BP neural network model, then starts a web crawler module to crawl historical diagnosis data of the patient, excavates examination item information which is in line with the examination item information which does not need to be detected again, and then rejects examination items which do not need to be detected again and exist in the examination item data to be recommended, so that the recommended detection items are obtained, the examination items comprise selectable items and optional items, and the patient can perform selective item selection as required.
3. The internet-based gynecological medical treatment control system as claimed in claim 2, wherein: the BP neural network model is obtained by training based on historical patient symptom parameters and corresponding information of items to be checked, the input item is the patient symptom parameters, and the output item is the information of the items to be checked.
4. The internet-based gynecological medical treatment control system of claim 1, wherein: the system also comprises a vital sign data acquisition device configured with a wireless communication module, and is used for acquiring the vital sign data of the patient and distributing the acquired vital sign data to the corresponding patient terminal and the corresponding doctor terminal after the acquired vital sign data is stored by the server.
5. The internet-based gynecological medical treatment control system of claim 1, wherein: the patient disease evaluation module realizes the pre-evaluation of the gynecological disease of the patient according to the symptom parameters of the patient and the result parameters of each examination item based on the Bayesian prediction model.
6. The internet-based gynecological medical treatment control system of claim 1, wherein: the patient terminal also internally carries:
the diagnosis and treatment plan planning module is used for planning a patient diagnosis and treatment plan according to the diagnosis and treatment result information and the doctor's advice information;
and the diagnosis and treatment plan reminding module is used for realizing the timing reminding of the diagnosis and treatment plan of the patient.
7. The internet-based gynecological medical treatment control system of claim 1, wherein: the patient terminal also internally carries:
and the timing revising module is used for performing timing revising in a mode of popping up a dialog box according to the diagnosis and treatment result information and revising the diagnosis and treatment plan of the patient according to the result of the timing revising.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010878758.0A CN111986812A (en) | 2020-08-27 | 2020-08-27 | Internet-based gynecological disease medical diagnosis and treatment control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010878758.0A CN111986812A (en) | 2020-08-27 | 2020-08-27 | Internet-based gynecological disease medical diagnosis and treatment control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111986812A true CN111986812A (en) | 2020-11-24 |
Family
ID=73440043
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010878758.0A Withdrawn CN111986812A (en) | 2020-08-27 | 2020-08-27 | Internet-based gynecological disease medical diagnosis and treatment control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111986812A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113223719A (en) * | 2021-06-08 | 2021-08-06 | 阿拉拇 | Personal health management system based on artificial intelligence |
| CN113284609A (en) * | 2021-04-28 | 2021-08-20 | 江南大学 | WeChat applet-based hearing test and tinnitus diagnosis system and method |
| CN114018442A (en) * | 2021-11-10 | 2022-02-08 | 西安百花医疗科技有限公司 | Body temperature monitoring system |
-
2020
- 2020-08-27 CN CN202010878758.0A patent/CN111986812A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113284609A (en) * | 2021-04-28 | 2021-08-20 | 江南大学 | WeChat applet-based hearing test and tinnitus diagnosis system and method |
| CN113284609B (en) * | 2021-04-28 | 2023-03-10 | 江南大学 | WeChat applet-based hearing test and tinnitus diagnosis system and method |
| CN113223719A (en) * | 2021-06-08 | 2021-08-06 | 阿拉拇 | Personal health management system based on artificial intelligence |
| WO2022257675A1 (en) * | 2021-06-08 | 2022-12-15 | 广州工商学院 | Artificial intelligence-based personal health management system |
| CN114018442A (en) * | 2021-11-10 | 2022-02-08 | 西安百花医疗科技有限公司 | Body temperature monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Farahani et al. | Healthcare iot | |
| Runkle et al. | Use of wearable sensors for pregnancy health and environmental monitoring: Descriptive findings from the perspective of patients and providers | |
| Chang et al. | A context-aware, interactive M-health system for diabetics | |
| CN111986812A (en) | Internet-based gynecological disease medical diagnosis and treatment control system | |
| CN111128333A (en) | One-stop intelligent diagnosis and intelligent medical management system | |
| CN107092799B (en) | Vital sign data management system and method based on cloud computing | |
| CN109545394A (en) | A kind of way of inquisition and device | |
| CN105160155A (en) | Medical information network sharing system | |
| CN106803024A (en) | A kind of remote medical consultation with specialists method and system | |
| CN113948194A (en) | Intelligent accurate mother and infant health management information platform | |
| CN113066566A (en) | Outpatient intelligent appointment hospitalizing method | |
| CN117253580A (en) | Automatic patient monitoring and nursing system, method and device | |
| CN114117053A (en) | Disease classification model training method and device, storage medium and electronic device | |
| US11328820B2 (en) | Decision engine based on disparate data sources | |
| Molina et al. | Intelligent telehealth system to support epilepsy diagnosis | |
| CN109102880A (en) | Health monitor method and its device, system and computer readable storage medium | |
| Onashoga et al. | A mobile phone-based antenatal care support system | |
| CN113870973A (en) | Information output method, device, computer equipment and medium based on artificial intelligence | |
| US20180190384A1 (en) | Automated genetic test counseling | |
| Pombo et al. | Contribution of web services to improve pain diaries experience | |
| CN112735579A (en) | Rapid registration treatment system for emergency patients | |
| CN111402975A (en) | Out-hospital pharmacy monitoring system and method based on smart cloud platform | |
| US20200035361A1 (en) | Method and electronic device for artificial intelligence (ai)-based assistive health sensing in internet of things network | |
| US20100249529A1 (en) | Pain Monitoring Apparatus and Methods Thereof | |
| CN112568911B (en) | Electrocardiogram data classification method, equipment and device with storage function |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201124 |
|
| WW01 | Invention patent application withdrawn after publication |