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Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods
April 2, 2024, 7:51 p.m. | Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Ozlem Uzuner, Meliha
cs.CL updates on arXiv.org arxiv.org
Abstract: Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record (EHR), which provides a rich repository for diverse patient data. In this work, we present a novel annotated corpus, the Pediatric Social History Annotation Corpus (PedSHAC), and evaluate the automatic extraction of detailed SDoH representations using fine-tuned and in-context learning methods with Large …
abstract arxiv cs.cl ehr electronic electronic health record health language language models large language large language models long-term notes novel patient role social type
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