Open Access Paper
24 May 2022 Research and development of the clinical thinking mining and discovery system based on artificial intelligence
Zeng Hongwu, Li Peng
Author Affiliations +
Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 1226021 (2022) https://doi.org/10.1117/12.2637407
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
An AI-based clinical thinking mining discovery system that can be used on PCs and mobile terminals (cell phones, pads, etc.). The system utilizes artificial intelligence technology to obtain massive medical case data and case discussions from the Internet for data extraction and organization, and intelligently classifies them by disease type and clinical presentation. Using natural language processing technology and intelligent mapping mechanism of medical terms, it mines the information of clinical features, tests, inspections, disposal measures and reasons (drugs, surgeries, etc.) of the extracted cases, abstracts and visualizes the diagnostic rules and clinical treatment channels of the cases. The medical case data processed on the Internet will be combined with the typical case data in the HIS system to form a clinical knowledge repository of diseases, guide junior doctors and students to conduct clinical thinking training and consolidate medical knowledge.
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Zeng Hongwu and Li Peng "Research and development of the clinical thinking mining and discovery system based on artificial intelligence", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 1226021 (24 May 2022); https://doi.org/10.1117/12.2637407
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KEYWORDS
Internet

Knowledge management

Mining

Artificial intelligence

Data storage

Data analysis

Data communications

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