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A Hybrid Retrieval Augmented Generation Approach for Explainable Clinical Decision Support Using Vector Databases and Best Matching 25

2026-06-25

Abstract excerpt

<title>Abstract</title> <p>Clinical decision making in modern healthcare industry faces problems due to the growing amount of medical knowledge, scattered data sources, and the lack of patient centered information. Traditional Clinical Decision Support Systems heavily depend on rules and keyword searches, which always lack an understanding of context and personalization. This paper puts forth a Clinical Decision...

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Literature Corpus work
83551171-e4e8-57c9-951d-5b25c76d018e
DOI
10.21203/rs.3.rs-9787855/v1
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A Hybrid Retrieval Augmented Generation Approach for Explainable Clinical Decision Support Using Vector Databases and Best Matching 25DOI 10.21203/rs.3.rs-9787855/v1
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