LLM-Based Information Retrieval for Disease Detection Using Semantic Similarity

Information retrieval systems are vital for disease prediction, but traditional methods like TF-IDF struggle with word meanings and produce long, complex vectors. This research uses Large Language Models (LLMs) and follows the CRISP-DM methodology to improve accuracy. Using health forum discussions...

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Bibliographic Details
Main Authors: Muhammad Adrinta Abdurrazzaq, Edwin Lesmana Tjiong, Kent Algren Wanady
Format: Article
Language:English
Published: Department of Informatics, UIN Sunan Gunung Djati Bandung 2025-04-01
Series:JOIN: Jurnal Online Informatika
Subjects:
Online Access:https://join.if.uinsgd.ac.id/index.php/join/article/view/1486
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