Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians’ needs

Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians’ needs

Abstract Background Developing predictive models for precision psychiatry is challenging because of unavailability of the necessary data: extracting useful information from existing electronic health record (EHR) data is not straightforward, and available clinical trial datasets are often not repres...

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Bibliographic Details
Main Authors: Rosanne J. Turner, Femke Coenen, Femke Roelofs, Karin Hagoort, Aki Härmä, Peter D. Grünwald, Fleur P. Velders, Floortje E. Scheepers
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Psychiatry
Subjects:
Transdiagnostic psychiatry
Natural language processing
Machine learning
Depression
Hamilton
SF-36
Online Access:https://doi.org/10.1186/s12888-022-04058-z

Internet

https://doi.org/10.1186/s12888-022-04058-z

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