DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-20112

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-10,Issue-8  ( Aug, 2023 )
Paper Title
Insights from Medical Documents without the Document
Author Name
Balasubramanian Cv, Manikantan Rajendran, Arpana Dipak Mahajan, Paramasivam Venkatesan, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan
Affilition
Data and AI Capability, ATCI, Chennai, India
Pages
1-4
Abstract
This research explores the application of language model-based learning(LLM) techniques to extract valuable insights from vast medical document repositories. Leveraging advanced natural language processing, the study delves into the analysis of electronic health records, research papers and clinical notes to uncover hidden patterns, trends, and potential correlations. By employing LLMs, the study aims to enhance medical decision-making, improve patient outcomes, translation and easy understanding of prescriptions and disease cause, and streamline healthcare processes. The findings highlight the promising potential of LLMs in revolutionizing medical data analysis and opening new avenues for precision medicine and evidence-based healthcare practices.
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