Validating Patient Symptoms in the Electronic Health Record with Large Language Models for Scalable Tracking of Symptoms in Neuro-oncology (P3-11.004)

To validate symptoms extracted from the electronic health record (EHR) with using large language modeling (LLM) to scale symptom extraction from the EHR.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000210712
Citations
2
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
1.61
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article

Validating Patient Symptoms in the Electronic Health Record with Large Language Models for Scalable Tracking of Symptoms in Neuro-oncology (P3-11.004)

Brigitte N. Durieux, John Yohan Rhee, Charlotta Lindvall, Zachary Tentor et al.
2 citations
Neurology
Biomedical Text Mining and Ontologies
1.61
article

Validating Patient Symptoms in the Electronic Health Record with Large Language Models for Scalable Tracking of Symptoms in Neuro-oncology (P3-11.004)

Brigitte N. Durieux, John Yohan Rhee, Charlotta Lindvall, Zachary Tentor, Rameen Beroukhim, Joshua Davis, Paul Miller, Thomas Sounack
article en
2 citations

Abstract

To validate symptoms extracted from the electronic health record (EHR) with using large language modeling (LLM) to scale symptom extraction from the EHR.

NeurologyVol. 104(7_Supplement_1)
Harvard University (US), Dana-Farber Cancer Institute (US)
Openalex Percentile: Top 18%
Biomedical Text Mining and Ontologies
1.61
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