Work

Evaluating NLP Approaches to Extract Drug Indications.

Year: 2026
Type: article
Abstract: = 0.106). Performance differed markedly by drug, with narrow indication profiles yielding near-perfect accuracy and broader or symptom-adjacent indications proving consistently challenging. These findings establish a benchmark for LLM-based indication extraction and highlight opportunities for hybrid pipelines that balance high recall with precision-oriented validation.
Source: PubMed
Institution: Brown University
Language: English
Open Access status: green
OpenAlex ID: W7165423402
FWCI:
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