A medical data analysis auxiliary method and system based on artificial intelligence
By processing medical record information based on artificial intelligence and generating drug use analysis reports, the problems of incomplete medical data processing and inaccurate drug use suggestions in the existing technology are solved, and efficient and accurate medical data analysis and drug use suggestions are achieved.
CN119740557AActive Publication Date: 2025-04-01BEIJING KEPTON PHARM TECH DEV CO LTD
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Patent Information
- Application Number
- CN202510258163.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-06
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2045-03-06
AI Technical Summary
Technical Problem
The prior art has shortcomings in the comprehensiveness of medical data processing and the accuracy of drug recommendations, and cannot meet the needs of efficient and precise medical treatment.
Method used
Using an artificial intelligence-based method, by obtaining the patient's medical record information, denoising and standardizing the processing, the NLP model is used to analyze the symptom description information, and a drug recommendation information is generated based on the large language model, and a drug analysis report is generated.
Benefits of technology
It realizes efficient analysis of medical data and the provision of precise medication suggestions, and improves the quality and efficiency of medical services.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses an artificial intelligence-based medical data analysis auxiliary method and system, which relates to the field of artificial intelligence, including: obtaining medical record information of target patients, parsing symptom description information with an NLP model after denoising and standardization, and then obtaining medication recommendation information based on a large language model, and finally generating a medication analysis report and pushing it to a preset user interaction interface, thereby realizing efficient analysis of medical data and provision of accurate medication recommendations.
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