NLP modeling recommendations for restricted data availability in clinical settings

Abstract Background Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. Natural Language Processing (NLP) has emerged as a promising solution, but its application in clinical settings is hindered by restricted...

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Bibliographic Details
Main Authors: Fabián Villena, Felipe Bravo-Marquez, Jocelyn Dunstan
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-025-02948-2
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