CN112489799A - Auxiliary diagnosis method, platform and terminal for community resident health - Google Patents

Auxiliary diagnosis method, platform and terminal for community resident health Download PDF

Info

Publication number
CN112489799A
CN112489799A CN202011401497.XA CN202011401497A CN112489799A CN 112489799 A CN112489799 A CN 112489799A CN 202011401497 A CN202011401497 A CN 202011401497A CN 112489799 A CN112489799 A CN 112489799A
Authority
CN
China
Prior art keywords
user
diagnosis
health
data
information
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
Application number
CN202011401497.XA
Other languages
Chinese (zh)
Inventor
孙喜琢
宫芳芳
林锦春
覃金洲
曾舒怡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Luohu Hospital Group
Original Assignee
Shenzhen Luohu Hospital Group
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Luohu Hospital Group filed Critical Shenzhen Luohu Hospital Group
Priority to CN202011401497.XA priority Critical patent/CN112489799A/en
Publication of CN112489799A publication Critical patent/CN112489799A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

Landscapes

  • Public Health (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Biomedical Technology (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention provides a community resident health auxiliary diagnosis method, a community resident health auxiliary diagnosis platform and a community resident health auxiliary diagnosis terminal, which comprise the steps of obtaining personal user information in a resident health management station, determining user health index data required to be achieved according to the personal user information, obtaining the existing auxiliary diagnosis items in a preset resident health management station, obtaining diagnosis data under the condition that the existing auxiliary diagnosis items are executed on a user, formulating a health management scheme of the user under the condition that the diagnosis data do not reach the user health index data, and sending alarm information, wherein the alarm information is used for indicating a receiver to execute the health management scheme; the method is based on personal information in a resident health management station and auxiliary diagnosis project examination, and potential disease possibility is inferred according to diagnosis results from high to low; and a reasonable treatment scheme is recommended according to the medical record information such as the basic information, the chief complaint and the current medical history of the patient, and corresponding inference logic is provided to assist a doctor to make a better decision.

Description

Auxiliary diagnosis method, platform and terminal for community resident health
Technical Field
The invention relates to the technical field of health management, in particular to a community resident health auxiliary diagnosis method, a community resident health auxiliary diagnosis platform and a community resident health auxiliary diagnosis terminal.
Background
With the continuous development of the medical and health industry, the informatization degree of hospitals is gradually improved, the medical System is gradually improved, and various digital applications based on the Hospital Information System (Hospital Information System) are more and more extensive.
At present, the regulation of the health profile of residents is an important content of public health services. However, in view of the actual situation of our country, the range and quality of the implementation is not high. Generally, residents actively go to a hospital or a special physical examination center to examine the whole body when the residents are in good health, whether the resident has potential diseases or not is found, the health condition of the middle-aged people is not optimistic, more than 50% of the middle-aged people suffer from various diseases to different degrees, and the physical examination organization does not establish a standard and complete file for the physical examination condition of the residents.
Disclosure of Invention
The invention provides a community resident health auxiliary diagnosis method, a community resident health auxiliary diagnosis platform and a community resident health auxiliary diagnosis terminal, and aims to solve the technical problems.
In one aspect, the invention provides a community resident health auxiliary diagnosis method, which comprises the following steps:
acquiring data through acquisition equipment to acquire personal user data information;
transmitting the personal user data information to a back-end cloud computing server through a 5G network;
the method comprises the steps that a cloud storage unit and a matching algorithm are achieved through a cloud computing server, and initial information of a personal user is formed;
acquiring initial information of an individual user in a cloud computing server;
determining user health index data required to be achieved according to the initial information of the individual user;
acquiring existing auxiliary diagnosis items in a preset resident health management station;
under the condition that the existing auxiliary diagnosis items are executed on the user, obtaining diagnosis data;
and under the condition that the diagnosis data does not reach the user health index data, formulating a health management scheme of the user and sending alarm information, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
Further, the acquiring of the initial information of the individual user in the preset residential health management station includes:
and acquiring the authority unlocking ciphertext, and acquiring the personal user information in a preset resident health management station under the condition that the acquired authority unlocking ciphertext conforms to the preset content, wherein the personal user information at least comprises a chief complaint, symptoms mentioned in the current medical history and diseases.
Further, the existing auxiliary diagnostic items include image analysis diagnosis, and the image analysis diagnosis includes:
acquiring images in each diagnosis area;
respectively carrying out binarization processing on the images in the diagnosis areas;
acquiring an area with pixel points continuously 1 in the image after the binarization processing;
the regions are connected and connected by vector lines to define a shape.
Further, in the case that the diagnosis data does not reach the user health index data, the method includes:
comparing the determined shape with a shape corresponding to preset health index data; if the similarity does not reach a threshold value, identifying the suspicious structure of the region and extracting the characteristics of the lesion;
further performing symptom analysis and quantification according to the lesion characteristics to obtain quantitative data of symptom analysis and quantification;
and inputting the quantitative data into a processing module to classify the lesion.
In another aspect, the present invention also provides a diagnostic platform comprising:
the acquisition module acquires data through acquisition equipment to acquire personal user data information;
the transmission module transmits the personal user data information to a back-end cloud computing server through a 5G network;
the storage module is used for realizing a cloud storage unit and a matching algorithm through a cloud computing server to form initial information of the personal user;
the first acquisition module is used for acquiring the initial information of the individual user in the cloud computing server;
the first processing module is used for determining user health index data required to be achieved according to the initial information of the individual user;
the second acquisition module is used for acquiring the existing auxiliary diagnosis items in the preset resident health management station;
the second processing module is used for acquiring diagnosis data under the condition that the existing auxiliary diagnosis items are executed on the user;
and the judging module is used for formulating the health management scheme of the user and sending alarm information under the condition that the diagnosis data does not reach the health index data of the user, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
On the other hand, the invention also provides a community resident health auxiliary diagnosis terminal, which comprises:
one or more processors;
a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the health profile management method described above.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Compared with the prior art, the community resident health auxiliary diagnosis method and the community resident health auxiliary diagnosis platform provided by the invention have the following advantages:
potential disease possibility can be deduced from high to low according to diagnosis results based on personal information in the resident health management station and auxiliary diagnosis item examination and inspection result recommendation related diseases, related symptoms and signs; and a reasonable treatment scheme is recommended according to the medical record information such as the basic information, the chief complaint and the current medical history of the patient, and corresponding inference logic is provided to assist a doctor to make a better decision.
It is to be understood that the foregoing description is of the advantages of the invention and further description will be apparent to those skilled in the art from this disclosure.
Additional aspects and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flowchart illustrating an embodiment of a community resident health assistant diagnosis method according to the present invention.
FIG. 2 is a schematic diagram of an embodiment of the diagnostic platform of the present invention.
FIG. 3 is a schematic diagram of an image analysis diagnosis according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative only and should not be construed as limiting the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, or operations, but do not preclude the presence or addition of one or more other features, integers, steps, operations, or groups thereof.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It will be appreciated by those skilled in the art that the terms "application," "application program," "application software," and the like, as used herein, are intended to refer to a computer software product electronically-adapted to be electronically-constructed, from a collection of computer instructions and associated data resources, in accordance with the principles of the present invention. Unless otherwise specified, such nomenclature is not itself limited by the programming language class, level, or operating system or platform upon which it depends. Of course, such concepts are not limited to any type of terminal.
It should be understood by those skilled in the art that the user interface and the display interface referred to in the present invention generally refer to a display interface capable of being used to send the control instruction to the intelligent terminal, and for example, may be an option (or a button, added by the application program, the same applies hereinafter) in a setup page of an Android/IOS/Windows Phone system, an option in a notification bar or an interaction page called from a desktop, or an option in a page constructed by an active component of the application program.
The invention integrates the detection results of different detection mechanisms through an auxiliary diagnosis platform, can collect medical wearable equipment data of community people, forms dynamic continuous monitoring, and gives health risk assessment to residents, disease reminding and auxiliary diagnosis basis to doctors.
Specifically, as shown in fig. 1, the present invention provides a method for assisting in diagnosing community resident health, which includes:
s100: acquiring data through acquisition equipment to acquire personal user data information;
s200: transmitting the personal user data information to a back-end cloud computing server through a 5G network;
s300: the method comprises the steps that a cloud storage unit and a matching algorithm are achieved through a cloud computing server, and initial information of a personal user is formed;
wherein, collection equipment data collection includes: body fat scales, sports watches, body weighing meters, blood pressure meters or electronic data on personal physical sign detection completed in medical institutions through various medical equipment; after the 5G server performs security detection through a firewall, the data are sent to a cloud computing server for operation and identification, then cloud storage and algorithm matching are performed through the cloud computing server, and initial state information of an individual user is established, wherein the information comprises: the disease information, medical record information, prescription information, and daily physical sign state information include: body fat rate, basal metabolic rate, dietary information, exercise information, sleep breathing information, and the like.
S400: and acquiring the initial information of the individual user in the cloud computing server.
When the user is uncomfortable, receives a warning notice or reaches the pre-detection time, the user obtains corresponding authority in the resident health management station to enter a diagnosis platform, and medical personnel obtain the user information preset in the health management station by entering the diagnosis platform; specifically, the user sets the permissions in advance, such as: the method comprises the following steps that personal privacy protection ciphertexts are formulated in modes of face recognition, sound ray control, fingerprint recognition, digital passwords and the like, only when a user himself or the authorization of the user himself is obtained, unlocking cipher text content can be obtained, when the content accords with pre-configured content, medical personnel can enter a user personal diagnosis platform to obtain personal user information filled by residents before a resident file is established, wherein the user information can be chief complaints, symptoms and diseases mentioned by the current medical history, and can also be the basic health condition of the individuals; only the user with the corresponding authority can enter the system, and the privacy security of the user can be guaranteed.
S500: and determining user health index data required to be achieved according to the initial information of the individual user.
In this embodiment, the medical staff needs to compare the characteristics of the industry, age, sex, weight, etc. in which the user is engaged with the current health standard, determine the health index range that the user should reach after diagnosis, and obtain an image of the non-pathological changes with respect to the health index range.
S600: and acquiring the existing auxiliary diagnosis items in the preset resident health management station.
After obtaining the above data, the medical staff needs to determine the diagnostic equipment by the existing instruments in the management station, in this embodiment, the existing auxiliary diagnostic items include image analysis and diagnosis, video online analysis, and image reading, and this application only provides an embodiment of image analysis and diagnosis, where the image analysis and diagnosis includes:
s601: acquiring images in each diagnosis area;
s602: respectively carrying out binarization processing on the images in the diagnosis areas;
s603: acquiring an area with pixel points continuously 1 in the image after the binarization processing;
s604: the regions are connected and connected by vector lines to define a shape.
S700: under the condition that the existing auxiliary diagnosis items are executed on the user, obtaining diagnosis data;
in this embodiment, the diagnosis can be completed only after the image information of each region (e.g., corresponding organ region) is obtained, and the diagnosis data is obtained.
S800: and under the condition that the diagnosis data does not reach the user health index data, formulating a health management scheme of the user and sending alarm information, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
The specific case that the diagnosis data does not reach the user health index data includes: comparing the shape determined after the image analysis and diagnosis with the shape corresponding to the preset health index data; if the similarity does not reach the threshold value, identifying the suspicious structure of the region, extracting the pathological change characteristics and sending warning information; further performing symptom analysis and quantification according to the lesion characteristics to obtain quantitative data of symptom analysis and quantification; inputting the quantitative data into a processing module to classify the lesions to obtain a final health management scheme; this alarm information sends health management scheme to medical staff or user, supervises the user to carry out the scheme suggestion, wherein, this scheme can be divided into three grades, and to critically ill patient, the suggestion is doctorsed and nurses, to light patient, suggests clinical medication, to sub-health patient, mentions health risk and reminds.
In one embodiment, the present invention provides a diagnostic platform storing a plurality of instructions adapted to be loaded by a processor and to execute the community resident health assisted diagnostic method, comprising:
acquiring data through acquisition equipment to acquire personal user data information;
transmitting the personal user data information to a back-end cloud computing server through a 5G network;
the method comprises the steps that a cloud storage unit and a matching algorithm are achieved through a cloud computing server, and initial information of a personal user is formed;
acquiring initial information of an individual user in a cloud computing server;
determining user health index data required to be achieved according to the initial information of the individual user;
acquiring existing auxiliary diagnosis items in a preset resident health management station;
under the condition that the existing auxiliary diagnosis items are executed on the user, obtaining diagnosis data;
and under the condition that the diagnosis data does not reach the user health index data, formulating a health management scheme of the user and sending alarm information, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
For convenience of description, the diagnostic platform is split into a functional module architecture, as shown in fig. 2, including:
the acquisition module 100 acquires data through acquisition equipment to acquire personal user data information;
the transmission module 200 is used for transmitting the personal user data information to a back-end cloud computing server through a 5G network;
the storage module 300 is used for realizing a cloud storage unit and a matching algorithm through a cloud computing server to form initial information of the personal user;
a first obtaining module 400, configured to obtain initial information of an individual user in a cloud computing server;
the first processing module 500 is used for determining user health index data required to be achieved according to the initial information of the individual user;
a second obtaining module 600, configured to obtain existing auxiliary diagnostic items in a preset residential health management station;
a second processing module 700, configured to obtain diagnosis data when all the existing auxiliary diagnosis items are executed for the user;
the determining module 800, when the diagnostic data does not reach the user health index data, formulates a health management scheme for the user, and sends an alarm message, wherein the alarm message is used to instruct a receiver to execute the health management scheme.
The invention also provides a community resident health auxiliary diagnosis terminal, which comprises:
one or more processors;
a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the health profile management method described above.
The electronic device integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the application program multi-open method according to the above embodiments may be implemented by referring to related hardware through a computer program, which may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the above method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
Throughout the description and claims of this application, the words "comprise/comprises" and the words "have/includes" and variations of these are used to specify the presence of stated features, values, steps or components but do not preclude the presence or addition of one or more other features, values, steps, components or groups thereof.
Some features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, certain features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable combination in different embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (6)

1. A community resident health auxiliary diagnosis method is characterized by comprising the following steps:
acquiring data through acquisition equipment to acquire personal user data information;
transmitting the personal user data information to a back-end cloud computing server through a 5G network;
the method comprises the steps that a cloud storage unit and a matching algorithm are achieved through a cloud computing server, and initial information of a personal user is formed;
acquiring initial information of an individual user in a cloud computing server;
determining user health index data required to be achieved according to the initial information of the individual user;
acquiring existing auxiliary diagnosis items in a preset resident health management station;
under the condition that the existing auxiliary diagnosis items are executed on the user, obtaining diagnosis data;
and under the condition that the diagnosis data does not reach the user health index data, formulating a health management scheme of the user and sending alarm information, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
2. The community resident health auxiliary diagnosis method as claimed in claim 1, wherein the acquiring of the initial information of the individual user in the preset resident health management station comprises:
and acquiring an authority unlocking ciphertext, and acquiring initial information of an individual user in a preset resident health management station under the condition that the acquired authority unlocking ciphertext conforms to the preset content, wherein the initial information of the individual user at least comprises a chief complaint, symptoms and diseases mentioned in the current medical history.
3. The community resident health auxiliary diagnosis method according to claim 1, wherein the existing auxiliary diagnosis items comprise image analysis diagnosis, and the image analysis diagnosis comprises:
acquiring images in each diagnosis area;
respectively carrying out binarization processing on the images in the diagnosis areas;
acquiring an area with pixel points continuously 1 in the image after the binarization processing;
the regions are connected and connected by vector lines to define a shape.
4. The community resident health assistant diagnosis method according to claim 3, wherein in case the diagnosis data does not reach the user health index data, comprising:
comparing the determined shape with a shape corresponding to preset health index data; if the similarity does not reach a threshold value, identifying the suspicious structure of the region and extracting the characteristics of the lesion;
further performing symptom analysis and quantification according to the lesion characteristics to obtain quantitative data of symptom analysis and quantification;
and inputting the quantitative data into a processing module to classify the lesion.
5. A diagnostic platform, comprising:
the acquisition module acquires data through acquisition equipment to acquire personal user data information;
the transmission module transmits the personal user data information to a back-end cloud computing server through a 5G network;
the storage module is used for realizing a cloud storage unit and a matching algorithm through a cloud computing server to form initial information of the personal user;
the first acquisition module is used for acquiring the initial information of the individual user in the cloud computing server;
the first processing module is used for determining user health index data required to be achieved according to the initial information of the individual user;
the second acquisition module is used for acquiring the existing auxiliary diagnosis items in the preset resident health management station;
the second processing module is used for acquiring diagnosis data under the condition that the existing auxiliary diagnosis items are executed on the user;
and the judging module is used for formulating the health management scheme of the user and sending alarm information under the condition that the diagnosis data does not reach the health index data of the user, wherein the alarm information is used for indicating a receiver to execute the health management scheme.
6. A community resident health auxiliary diagnosis terminal is characterized by comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a health profile management method as claimed in any one of claims 1-4.
CN202011401497.XA 2020-12-02 2020-12-02 Auxiliary diagnosis method, platform and terminal for community resident health Pending CN112489799A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011401497.XA CN112489799A (en) 2020-12-02 2020-12-02 Auxiliary diagnosis method, platform and terminal for community resident health

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011401497.XA CN112489799A (en) 2020-12-02 2020-12-02 Auxiliary diagnosis method, platform and terminal for community resident health

Publications (1)

Publication Number Publication Date
CN112489799A true CN112489799A (en) 2021-03-12

Family

ID=74939293

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011401497.XA Pending CN112489799A (en) 2020-12-02 2020-12-02 Auxiliary diagnosis method, platform and terminal for community resident health

Country Status (1)

Country Link
CN (1) CN112489799A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112990101A (en) * 2021-04-14 2021-06-18 深圳市罗湖医院集团 Facial organ positioning method based on machine vision and related equipment
CN113241180A (en) * 2021-06-01 2021-08-10 北京京东拓先科技有限公司 Health management method and device
CN113486631A (en) * 2021-05-27 2021-10-08 四川大学华西医院 Recording method and device for evaluation content
CN115101195A (en) * 2022-06-24 2022-09-23 曜立科技(北京)有限公司 Method and system for assisting valvular disease diagnosis decision

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678935A (en) * 2013-12-25 2014-03-26 柳州市欧博科技有限公司 Cloud-service-platform-based digital medical diagnosis and treatment integration system for community medical treatment and health
CN104239415A (en) * 2014-08-18 2014-12-24 成都正广兴健康咨询有限公司 Health information data monitoring system and monitoring method thereof
CN105373686A (en) * 2014-08-13 2016-03-02 南宁市锋威科技有限公司 Digital medical diagnosis and treatment integration system for community medical healthcare
CN107145704A (en) * 2017-03-27 2017-09-08 西安电子科技大学 Health medical treatment monitoring, evaluating system and its method for a kind of Community-oriented
CN109935346A (en) * 2019-03-21 2019-06-25 江苏盖睿健康科技有限公司 A kind of intelligentized grass-roots community's health total management system
CN110033456A (en) * 2019-03-07 2019-07-19 腾讯科技(深圳)有限公司 A kind of processing method of medical imaging, device, equipment and system
CN111627555A (en) * 2020-05-29 2020-09-04 东莞理工学院 Intelligent inspection and diagnosis system based on deep learning

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678935A (en) * 2013-12-25 2014-03-26 柳州市欧博科技有限公司 Cloud-service-platform-based digital medical diagnosis and treatment integration system for community medical treatment and health
CN105373686A (en) * 2014-08-13 2016-03-02 南宁市锋威科技有限公司 Digital medical diagnosis and treatment integration system for community medical healthcare
CN104239415A (en) * 2014-08-18 2014-12-24 成都正广兴健康咨询有限公司 Health information data monitoring system and monitoring method thereof
CN107145704A (en) * 2017-03-27 2017-09-08 西安电子科技大学 Health medical treatment monitoring, evaluating system and its method for a kind of Community-oriented
CN110033456A (en) * 2019-03-07 2019-07-19 腾讯科技(深圳)有限公司 A kind of processing method of medical imaging, device, equipment and system
CN109935346A (en) * 2019-03-21 2019-06-25 江苏盖睿健康科技有限公司 A kind of intelligentized grass-roots community's health total management system
CN111627555A (en) * 2020-05-29 2020-09-04 东莞理工学院 Intelligent inspection and diagnosis system based on deep learning

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112990101A (en) * 2021-04-14 2021-06-18 深圳市罗湖医院集团 Facial organ positioning method based on machine vision and related equipment
CN112990101B (en) * 2021-04-14 2021-12-28 深圳市罗湖医院集团 Facial organ positioning method based on machine vision and related equipment
CN113486631A (en) * 2021-05-27 2021-10-08 四川大学华西医院 Recording method and device for evaluation content
CN113486631B (en) * 2021-05-27 2023-04-21 四川大学华西医院 Recording method and device for evaluating content
CN113241180A (en) * 2021-06-01 2021-08-10 北京京东拓先科技有限公司 Health management method and device
CN115101195A (en) * 2022-06-24 2022-09-23 曜立科技(北京)有限公司 Method and system for assisting valvular disease diagnosis decision
CN115101195B (en) * 2022-06-24 2023-04-07 曜立科技(北京)有限公司 Method and system for assisting valvular disease diagnosis decision

Similar Documents

Publication Publication Date Title
CN112489799A (en) Auxiliary diagnosis method, platform and terminal for community resident health
Tschandl et al. Expert-level diagnosis of nonpigmented skin cancer by combined convolutional neural networks
EP3255573A1 (en) Clinical decision supporting ensemble system and clinical decison supporting method using the same
KR102558021B1 (en) A clinical decision support ensemble system and the clinical decision support method by using the same
US20200077903A1 (en) Health Monitoring System Using Outwardly Manifested Micro-Physiological Markers
Al Kibria et al. Estimated change in prevalence of hypertension in Nepal following application of the 2017 ACC/AHA guideline
US20190027254A1 (en) Medical information providing apparatus, operation method of medical information providing apparatus, and medical information providing program
Ali et al. A zero-watermarking algorithm for privacy protection in biomedical signals
Lovell et al. Information technology in primary health care
Muhaba et al. Automatic skin disease diagnosis using deep learning from clinical image and patient information
Del Mar et al. Aid to diagnosis of melanoma in primary medical care
CN113990482A (en) Health data processing system and method
Chaganti et al. Electronic medical record context signatures improve diagnostic classification using medical image computing
US20170357770A1 (en) Health risk cloud analysis system capable of integrating gene information and acquired lifestyle
CN115206551A (en) Health state monitoring method and device based on digital twins
US20230402180A1 (en) Techniques for generating predictive outcomes relating to spinal muscular atrophy using artificial intelligence
KR20020005888A (en) Method and system for providing remote health care service
CN117476217B (en) Chronic heart disease state of illness trend prediction system
Li et al. Admission Glasgow Coma Scale score as a predictor of outcome in patients without traumatic brain injury
Ho Artificial intelligence as a feminist bioethics issue
Di Martino et al. A computational framework to support the treatment of bedsores during COVID-19 diffusion
US20230197271A1 (en) Intelligent workflow analysis for treatments using exposable cloud-based registries
KR20230115719A (en) Remote cooperative medical care system and method
Mallios et al. A virtual doctor prototype for quick diagnosis and secure health information exchange
US20230178200A1 (en) Direct medical treatment predictions using artificial intelligence

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