CN113870984A - AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system - Google Patents
AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system Download PDFInfo
- Publication number
- CN113870984A CN113870984A CN202111149702.2A CN202111149702A CN113870984A CN 113870984 A CN113870984 A CN 113870984A CN 202111149702 A CN202111149702 A CN 202111149702A CN 113870984 A CN113870984 A CN 113870984A
- Authority
- CN
- China
- Prior art keywords
- treatment
- standardized
- diagnosis
- patient
- hospital
- 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
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
- 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
Landscapes
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a standardized diagnosis and treatment center authentication and assessment system based on an AI diagnosis and treatment follow-up system, which comprises the steps of firstly inputting patient medical records, tracking and collecting the actual treatment scheme of a patient through a standardized AI decision selection scheme through a subsequent intelligent treatment follow-up system, then comparing the actual treatment scheme with the AI decision scheme, sorting hospitals conforming to an admission threshold according to the degree of classification through scheme comparison weights according to unified sorting, and simultaneously finishing grade assessment according to disease condition classification, so that automatic matching of the patient and the hospitals can be finished, the accuracy of patient hospital grading matching is improved, medical resources are effectively saved, the work efficiency of patient disease condition triage is improved, the corresponding hospitals are automatically matched through the actual patient medicine name and the medicine period obtained from a Haichi AI standardized follow-up decision system and a medicine prescription data packet obtained from an operation platform of the assessment hospitals, the matching efficiency is improved, and thus a basis is provided for subsequent standardized hospital department certification in the tumor industry.
Description
Technical Field
The invention relates to the technical field of standardized diagnosis and treatment center authentication and assessment, in particular to a standardized diagnosis and treatment center authentication and assessment system based on an AI diagnosis and treatment follow-up system.
Background
The oncology department, the internal medicine department, the surgery department, the obstetrics and gynecology department and the pediatrics department are the same as the clinical medicine and are divided into the oncology department, the oncology radiation therapy department, the oncology surgery department and the like, the oncology department is mainly used for medical treatment of various benign and malignant tumors, the oncology radiation therapy department is mainly used for radiation treatment of tumors, the oncology department provides comprehensive treatment mainly based on operations, the standardized diagnosis and treatment degree of the oncology industry is lower, a patient does not uniformly know about a standardized diagnosis and treatment center, in the traditional cancer diagnosis and treatment process, doctors compare and analyze a series of images of cases and predict the pathological degree of the patient diseases by depending on experiences, the method needs a professional doctor to perform complicated manual operation on a large amount of data, meanwhile, the accuracy and the reliability of the diagnosis result of the method are seriously dependent on the experience knowledge and the professional quality of the doctor, and the accuracy of the diagnosis result is limited, the tumor patients need to do operations, chemotherapy and radiotherapy according to different disease states of the patients, the specialties of different subjects are different, and meanwhile, the expert points of the diagnosis center are also different, so that the most suitable diagnosis center can not be judged according to the disease severity of the patients, the condition that the disease states are not matched with the medical levels of hospitals is easily caused, the maximum distribution of medical resources can not be realized, the diagnosis and treatment levels of the diagnosis and treatment center need to be standardized, and the diagnosis and treatment level examination is carried out to complete the sequencing treatment of target hospitals.
Disclosure of Invention
The invention aims to provide a standardized diagnosis and treatment center authentication and assessment system based on an AI diagnosis and treatment follow-up system, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a standardized diagnosis and treatment center authentication and assessment system based on an AI diagnosis and treatment follow-up system comprises four parts which are respectively: the system comprises a patient operation platform, a Hai Xin AI standardized follow-up visit decision system, an examination hospital operation platform and a standardized hospital authentication system, wherein the working method of the examination system comprises the following steps:
the patient can see a doctor in the department through the patient operation platform, the medical record uploading can be completed, the Haichi AI standardized follow-up decision system receives the medical record and completes the OCR (optical character recognition) of the medical record, so that a personalized diagnosis and treatment scheme can be generated according to the patient's condition based on the standardized AI decision system, and an AI recommended treatment path and a treatment method can be completedThe case, then the examination hospital operation platform can receive the treatment path and the scheme, and simultaneously the examination doctor in the hospital can operate through the examination hospital operation platform, so that the normalized treatment path, the medication scheme and the medication period can be selected for the patient, then the prescription can be provided, the prescription data can be transmitted back to the Haichi AI normalized follow-up decision system to complete the creation of the follow-up plan, the follow-up plan is transmitted back to the patient operation platform to facilitate the patient to receive the treatment, then the patient receives the medication, simultaneously the patient uploads the medication record of the patient during the medication, so that the Haichi AI normalized follow-up decision system can receive the medication record of the patient, so that the Haichi normalized follow-up decision system can record the medication name and the medication period in the actual treatment, and then the medication name and the medication period data packet in the treatment can be directly transmitted to the normalized hospital authentication system for data cleaning, after the prescription is issued, prescription data can be synchronously sent to a standardized hospital authentication system, and the standardized diagnosis and treatment path, the medication scheme and the medication period can be stored, so that the standardized diagnosis and treatment score N of the patient can be calculated by comparing weighted scores before and after treatment0After a certain period is accumulated and the number of patients is calculated averagely, the normalized diagnosis and treatment score N of a doctor in the period can be obtainedXThen all doctors in the department are equally divided into N in the periodYAnd then, an authentication result can be produced according to the hospital authorization and scoring rule, and the authentication result is transmitted back to the examination hospital operation platform to finish the authentication of the standardized diagnosis and treatment demonstration hospital, so that the system can be used for tracking and collecting the real diagnosis and treatment scheme of the patient from the diagnosis and treatment scheme making standardization to the treatment scheme follow-up visit system through a data visualization form, carrying out standardized authentication examination on the oncology department of the hospital, and carrying out systematic examination and authentication on the examination hospital through a uniform examination rule.
Preferably, the patient operation platform, the Hai-Xin AI standardized follow-up decision making system, the examination hospital operation platform and the standardized hospital authentication system are all internally provided with display modules, so that the matching condition of diagnosis and treatment of the patient and the diagnosis and treatment hospital can be displayed in real time, the acquired corresponding information of the patient and the disease condition grading result can be displayed, and the to-be-diagnosed department and the basic condition of the diagnosis and treatment hospital can be visually displayed.
Preferably, a dosing scheme database is arranged in the standardized AI decision system, the dosing scheme database is electrically output and connected with the data calling unit, the data calling unit is electrically output and connected with the processor, a grade scoring table is arranged in the dosing scheme database, and the dosing scheme, the treatment mode and the diagnosis and treatment scheme in the dosing scheme database are transmitted to the processor for processing through the data calling unit, so that the standardized AI decision system can conveniently generate an individual diagnosis and treatment scheme according to the state of an illness of a patient.
Preferably, the standardized hospital authentication system comprises a matching confirmation module, the data is structured by combining the actual patient medication name and medication period obtained from the Hai-Xin AI standardized follow-up decision making system and the prescription data packet obtained from the doctor operating platform, corresponding keywords can be extracted, and standardized weighting scoring processing of the illness state and the physical therapy scheme based on the standard treatment path, the standard medication scheme and the standard medication period is obtained according to the keywords.
Preferably, the normalized cumulative cycle of the treatment plan in the normalized hospital certification system is controlled to be between ten days and fifteen days, and meanwhile, the number of the patients and the diagnosis and treatment plan diagnosis and treatment scores corresponding to the patients are calculated averagely to obtain the normalized treatment scores of the doctors in the period, and then, the average scores of all the doctors in the department in the period are calculated.
Compared with the prior art, the invention has the beneficial effects that:
the medical record of the patient is firstly input into the patient in the whole department, the patient actually uses the treatment scheme by a standardized AI decision selection scheme and tracking and collecting the patient by a subsequent intelligent treatment follow-up system, then the actual treatment scheme is compared with the AI decision scheme, the hospitals conforming to the admission threshold are ranked according to the rank by the scheme comparison weight, and meanwhile, the rank evaluation is completed according to the disease classification, so that the automatic matching of the patient and the hospitals can be completed, the accuracy of the patient hospital hierarchical matching is improved, the medical resources are effectively saved, the patient disease triage work efficiency is improved, the use is convenient, the information is reliable, the functions are rich, the patient disease evaluation level is favorably improved, the automatic matching of the patient hospital grade is completed more quickly, and the medical record is combined with a knowledge map library The prescription data packet of using medicine that obtains in the platform then combines the present state of an illness of patient and the appeal of patient's input, and the corresponding hospital of automatic matching has improved matching efficiency greatly, helps the patient to find suitable hospital sooner to provide the basis for follow-up tumour trade standardization hospital administrative or technical offices are certified, the beneficial patient, beneficial whole trade.
Drawings
FIG. 1 is a schematic flow chart of the working principle of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a standardized diagnosis and treatment center authentication and assessment system based on an AI diagnosis and treatment follow-up system comprises four parts which are respectively: the system comprises a patient operation platform, a Hai Xin AI standardized follow-up visit decision system, an examination hospital operation platform and a standardized hospital authentication system, wherein the working method of the examination system comprises the following steps:
the patient can see a doctor in the department through the patient operation platform, the medical record uploading can be completed, the Haichi AI standardized follow-up decision system receives the medical record and completes the OCR (optical character recognition) of the medical record, so that a personalized diagnosis and treatment scheme can be generated according to the patient's condition based on the standardized AI decision system, an AI recommended treatment path and scheme can be completed, then the hospital operation platform can be examined to receive the treatment path and scheme, and the hospital operation platform can be examined to simultaneously examine the treatment path and schemeA doctor in the hospital can operate through examining an operation platform of the hospital, so that a normalized treatment path, a medication scheme and a medication period can be selected for a patient, then a prescription can be provided, data of the prescription can be transmitted back to a Hai AI (artificial intelligence) normalized follow-up decision system to complete the creation of a follow-up plan, the follow-up plan is transmitted back to the patient operation platform to facilitate the patient to receive treatment, then the patient receives medication, meanwhile, the patient uploads a medication record of the patient during the medication period, so that the Hai AI normalized follow-up decision system can receive the medication record of the patient, so that the Hai AI normalized follow-up decision system can record the medication name and the medication period in actual treatment, and then a medication name and medication period data packet in treatment can be directly transmitted to a normalized hospital authentication system to perform data cleaning, so as to facilitate the realization of standard treatment path, The standard of the medication scheme and the standard of the medication period can ensure that after a prescription is issued, prescription data can be synchronously sent to a standardized hospital authentication system, and the standardized diagnosis and treatment path, the medication scheme and the medication period can be stored, so that the standardized diagnosis and treatment score N of the patient can be calculated by comparing weighted scores before and after treatment0After a certain period is accumulated and the number of patients is calculated averagely, the normalized diagnosis and treatment score N of a doctor in the period can be obtainedXThen all doctors in the department are equally divided into N in the periodYAnd then, an authentication result can be produced according to the hospital authorization and scoring rule, and the authentication result is transmitted back to the examination hospital operation platform to finish the authentication of the standardized diagnosis and treatment demonstration hospital, so that the system can be used for tracking and collecting the real diagnosis and treatment scheme of the patient from the diagnosis and treatment scheme making standardization to the treatment scheme follow-up visit system through a data visualization form, carrying out standardized authentication examination on the oncology department of the hospital, and carrying out systematic examination and authentication on the examination hospital through a uniform examination rule.
The patient operation platform, the Hai Xin AI standardized follow-up visit decision-making system, the examination hospital operation platform and the standardized hospital authentication system are all internally provided with display modules, so that the matching condition of diagnosis and treatment of the patient and the diagnosis and treatment hospital can be displayed in real time, the acquired corresponding information of the patient and the disease condition grading result are displayed at the same time, and the department to be diagnosed and the basic condition of the diagnosis and treatment hospital are visually displayed at the same time;
a drug administration scheme database is arranged in the standardized AI decision system, the drug administration scheme database is electrically output and connected with the data retrieval unit, the data retrieval unit is electrically output and connected with the processor, a grade scoring table is arranged in the drug administration scheme database, and the drug administration scheme, the treatment mode and the diagnosis and treatment scheme in the drug administration scheme database are transmitted to the processor for processing through the data retrieval unit, so that the standardized AI decision system can conveniently generate an individualized diagnosis and treatment scheme according to the illness state of a patient;
the standardized hospital authentication system comprises a matching confirmation module, the data are structured by combining an actual patient medication name and medication period obtained from a Hai-Xin AI standardized follow-up decision making system and a prescription data packet obtained from a doctor operation platform, corresponding keywords can be extracted, and standardized weighting scoring processing based on a standard treatment path, a standard medication scheme and a standard medication period is obtained according to the keywords;
the treatment scheme standardized accumulation period in the standardized hospital authentication system is controlled to be between ten days and fifteen days, the number of patients and the diagnosis and treatment scheme diagnosis and treatment scores corresponding to the patients are calculated averagely, the standardized treatment scores of the doctors in the period are obtained, and then the average scores of all doctors in the department in the period are obtained;
the medical record of the patient is firstly input into the patient in the whole department, the patient actually uses the treatment scheme by a standardized AI decision selection scheme and tracking and collecting the patient by a subsequent intelligent treatment follow-up system, then the actual treatment scheme is compared with the AI decision scheme, the hospitals conforming to the admission threshold are ranked according to the rank by the scheme comparison weight, and meanwhile, the rank evaluation is completed according to the disease classification, so that the automatic matching of the patient and the hospitals can be completed, the accuracy of the patient hospital hierarchical matching is improved, the medical resources are effectively saved, the patient disease triage work efficiency is improved, the use is convenient, the information is reliable, the functions are rich, the patient disease evaluation level is favorably improved, the automatic matching of the patient hospital grade is completed more quickly, and the medical record is combined with a knowledge map library The prescription data packet of using medicine that obtains in the platform then combines the present state of an illness of patient and the appeal of patient's input, and the corresponding hospital of automatic matching has improved matching efficiency greatly, helps the patient to find suitable hospital sooner to provide the basis for follow-up tumour trade standardization hospital administrative or technical offices are certified, the beneficial patient, beneficial whole trade.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. AI diagnosis and treatment follow-up visit system based standardized diagnosis and treatment center authentication and assessment system, its characterized in that: the system comprises four parts which are respectively: the system comprises a patient operation platform, a Hai Xin AI standardized follow-up visit decision system, an examination hospital operation platform and a standardized hospital authentication system, wherein the working method of the examination system comprises the following steps:
the patient can see a doctor through the patient operation platform to finish uploading of medical records, the Haichin AI standardized follow-up decision system receives the medical records and finishes OCR recognition of the medical records, so that a personalized diagnosis and treatment scheme can be generated according to the patient's condition based on the standardized AI decision system, an AI recommended treatment path and scheme can be finished, then the examination hospital operation platform can receive the treatment path and scheme, and meanwhile, a doctor in the examination hospital can operate through the examination hospital operation platform, so that the patient can select the standardized treatment path, the medication scheme and the medication period, then a prescription can be provided, the data of the prescription can be transmitted back to the Haichin AI standardized follow-up decision system to finish creation of a follow-up plan, the follow-up plan is transmitted back to the patient operation platform, so that the patient can receive treatment conveniently, then the patient receives medication, and meanwhile, the patient uploads the medication records of the patient during the medication, thus, the standardized Hai AI follow-up decision system can receive the medication records of the patients, the standardized Hai AI follow-up decision system can record the medication names and medication periods in actual treatment, then the medication names and medication periods in treatment can be directly uploaded to the standardized hospital authentication system for data cleaning so as to realize the treatment path standard, the medication scheme standard and the medication period standard, after the prescription is issued, the prescription data can be synchronously sent to the standardized hospital authentication system, the standardized diagnosis and treatment paths, the medication schemes and the medication periods can be stored, so that the standardized diagnosis and treatment score N0 can be calculated by comparing weighted scores before and after treatment, the standardized diagnosis and treatment score NX in the period of a doctor can be obtained after a certain period and the average calculation of the number of the patients are accumulated, and then the average score NY in the period of all doctors in a department can be obtained, and then, an authentication result can be produced according to the hospital authorization and scoring rule, and the authentication result is transmitted back to the examination hospital operation platform to finish the authentication of the standardized diagnosis and treatment demonstration hospital, so that the system can be used for standardizing diagnosis and treatment schemes from the establishment of the diagnosis and treatment schemes to the tracking and collection of the real diagnosis and treatment schemes of the patient through a data visualization form, carrying out standardized authentication and examination on the oncology department of the hospital, and carrying out systematic examination and authentication on the examination hospital through a uniform examination rule.
2. The AI follow-up system based standardized diagnosis and treatment center certification and assessment system according to claim 1, wherein: the patient operation platform, the Hai-Xin AI standardized follow-up visit decision-making system, the examination hospital operation platform and the standardized hospital authentication system are all internally provided with display modules, so that the matching conditions of diagnosis and treatment of the patient and the diagnosis and treatment hospital can be displayed in real time, the acquired corresponding information of the patient and the disease condition grading result are displayed, and the department to be diagnosed and the basic conditions of the diagnosis and treatment hospital are visually displayed.
3. The AI follow-up system based standardized diagnosis and treatment center certification and assessment system according to claim 1, wherein: the standardized AI decision-making system is internally provided with a dosing scheme database, the dosing scheme database is electrically output and connected with the data retrieval unit, the data retrieval unit is electrically output and connected with the processor, the dosing scheme database is internally provided with a grade scoring table, and the medication scheme, the treatment mode and the diagnosis and treatment scheme in the dosing scheme database are transmitted to the processor for processing through the data retrieval unit, so that the standardized AI decision-making system can conveniently generate an individualized diagnosis and treatment scheme according to the state of an illness of a patient.
4. The AI follow-up system based standardized diagnosis and treatment center certification and assessment system according to claim 1, wherein: the standardized hospital authentication system comprises a matching confirmation module, the data are structured by combining an actual patient medication name and medication period obtained from a Hai-Xin AI standardized follow-up decision making system and a prescription data packet obtained from a doctor operation platform, corresponding keywords can be extracted, and standardized weighting scoring processing based on a standard treatment path, a standard medication scheme and a standard medication period is obtained according to the keywords.
5. The AI follow-up system based standardized diagnosis and treatment center certification and assessment system according to claim 4, wherein: the normalized cumulative cycle of the treatment scheme in the normalized hospital certification system is controlled between ten days and fifteen days, the number of patients and the diagnosis and treatment score of the diagnosis and treatment scheme corresponding to the patients are averagely calculated, the normalized treatment score of the doctor in the period is obtained, and then the average score of all doctors in the department in the period is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111149702.2A CN113870984A (en) | 2021-09-29 | 2021-09-29 | AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111149702.2A CN113870984A (en) | 2021-09-29 | 2021-09-29 | AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113870984A true CN113870984A (en) | 2021-12-31 |
Family
ID=78992443
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111149702.2A Pending CN113870984A (en) | 2021-09-29 | 2021-09-29 | AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113870984A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117789965A (en) * | 2024-02-23 | 2024-03-29 | 北京惠每云科技有限公司 | Venous thrombosis prevention simulation evaluation method and system based on digital twin |
-
2021
- 2021-09-29 CN CN202111149702.2A patent/CN113870984A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117789965A (en) * | 2024-02-23 | 2024-03-29 | 北京惠每云科技有限公司 | Venous thrombosis prevention simulation evaluation method and system based on digital twin |
| CN117789965B (en) * | 2024-02-23 | 2024-06-07 | 北京惠每云科技有限公司 | Venous thrombosis prevention simulation evaluation method and system based on digital twin |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Elżbieta Machoy et al. | The ways of using machine learning in dentistry. | |
| US8655682B2 (en) | Treatment decision engine with applicability measure | |
| CN110851725A (en) | Medical resource recommendation method, system, computing device and storage medium | |
| RU2007124523A (en) | METHODS, SYSTEMS AND COMPUTER SOFTWARE PRODUCTS FOR THE DEVELOPMENT AND USE OF FORECASTING MODELS FOR PREDICTING MOST MEDICAL CASES, EVALUATING THE INTERVENTION STRATEGIES AND FOR THE SHARPET OF SHARPOINT | |
| CN109841267A (en) | A kind of clinical ophthalmology data collection system and method | |
| JP2005525158A (en) | Diagnostic information system | |
| CN106845147A (en) | Medical practice summarizes method for building up, device and the data assessment method of model | |
| Liu et al. | Big medical data decision-making intelligent system exploiting fuzzy inference logic for prostate cancer in developing countries | |
| CN106919804A (en) | Medicine based on clinical data recommends method, recommendation apparatus and server | |
| US20130275050A1 (en) | Methods and systems for integrated health systems | |
| KR101565331B1 (en) | Analyzing system for medical informations using patterns and the method thereof | |
| CN113870984A (en) | AI diagnosis and treatment follow-up system-based standardized diagnosis and treatment center authentication and assessment system | |
| CN114649071A (en) | Real world data-based peptic ulcer treatment scheme prediction system | |
| Mishra et al. | Cancer detection in highly dense breasts using coherently focused time versa microwave imaging and using warm-boot random forest classifier | |
| CN107066816A (en) | Medical treatment guidance method, device and server based on clinical data | |
| Zhang et al. | An Intelligent Decision‐Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries | |
| CN113870985A (en) | AI intelligent diagnosis and treatment follow-up visit system-based normalized doctor grade authentication and assessment system | |
| CN115985499A (en) | Physical mechanism data generation system and treatment plan generation system | |
| Chen et al. | Developing a prototype system of computer-aided appointment scheduling: A radiology department case study | |
| Basile et al. | The improvement of the clinical decision-making through the business intelligence | |
| Hoteit et al. | Breast Abnormalities' Classification Using Convolutional Neural Network | |
| CN112562851A (en) | Method and system for constructing neck lymph metastasis diagnosis algorithm of oral cancer | |
| CN116580798B (en) | Research method for dynamic and accurate clinical test selection of subject medicine | |
| CN110675930A (en) | Decision-making method, system and device for non-small cell lung cancer | |
| CN113782140B (en) | Diagnosis and treatment strategy determining method, device, equipment and medium based on machine learning |
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 |