A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms

A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms

Abstract Patient-reported symptoms provide valuable insights into patient experiences and can enhance healthcare quality; however, effectively capturing them remains challenging. Although natural language processing (NLP) models have been developed to extract adverse events and symptoms from medical...

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Main Authors: Satoshi Watabe, Yuki Yanagisawa, Kyoko Sayama, Sakura Yokoyama, Mitsuhiro Someya, Ryoo Taniguchi, Shuntaro Yada, Eiji Aramaki, Hayato Kizaki, Masami Tsuchiya, Shungo Imai, Satoko Hori
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Natural language processing
Patient-reported symptoms
Pharmaceutical care records
Named entity recognition
BERT-CRF
Patient-centered care
Online Access:https://doi.org/10.1038/s41598-025-12845-3
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https://doi.org/10.1038/s41598-025-12845-3

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