Clinical pharmacology and therapeuticsHumansDrug-Related Side Effects and Adverse ReactionsPatient Discharge SummariesAdverse Drug Reaction Reporting SystemsNatural Language Processing
Unlocking Potential of Generative Large Language Models for Adverse Drug Reaction Relation Prediction in Discharge Summaries: Analysis and Strategy.
Yen Ling Koon, Hui Xing Tan, Desmond Chun Hwee Teo, Jing Wei Neo, Pei San Ang, Celine Wei Ping Loke, Mun Yee Tham, Siew Har Tan, Bee Leng Sally Soh, Pei Qin Belinda Foo, Sreemanee Raaj Dorajoo
Published: 202510.1002/cpt.70100
Abstract
We present a comparative analysis of generative large language models (LLMs) for predicting causal relationships between drugs and adverse events found in text segments from discharge summaries. Despite lacking prior training for identifying related…
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