Natural language processing for automated triage and prioritization of individual case safety reports for case-by-case assessment

Natural language processing for automated triage and prioritization of individual case safety reports for case-by-case assessment

Objective: To improve a previously developed prediction model that could assist in the triage of individual case safety reports using the addition of features designed from free text fields using natural language processing.Methods: Structured features and natural language processing (NLP) features...

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Bibliographic Details
Main Authors: Thomas Lieber, Helen R. Gosselt, Pelle C. Kools, Okko C. Kruijssen, Stijn N. C. Van Lierop, Linda Härmark, Florence P. A. M. Van Hunsel
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Drug Safety and Regulation
Subjects:
prediction model
machine learning
natural language processing
drug safety reports
pharmacovigilance
Online Access:https://www.frontiersin.org/articles/10.3389/fdsfr.2023.1120135/full
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https://www.frontiersin.org/articles/10.3389/fdsfr.2023.1120135/full

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