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    Integrating retrieval-augmented generation for enhanced personalized physician recommendations in web-based medical services: model development study by Yingbin Zheng, Yiwei Yan, Sai Chen, Yunping Cai, Kun Ren, Yishan Liu, Jiaying Zhuang, Min Zhao

    Published 2025-01-01
    “…However, providing personalized physician recommendations remains a challenge, often relying on manual triage by schedulers, which can be limited by scalability and availability.ObjectiveThis study aimed to develop and validate a Retrieval-Augmented Generation-Based Physician Recommendation (RAGPR) model for better triage performance.MethodsThis study utilizes a comprehensive dataset consisting of 646,383 consultation records from the Internet Hospital of the First Affiliated Hospital of Xiamen University. The research primarily evaluates the performance of various embedding models, including FastText, SBERT, and OpenAI, for the purposes of clustering and classifying medical condition labels. …”
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