The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records

The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Concept Study Applying Natural Language Processing to Electronic Health Records

BackgroundAffective characteristics are associated with depression severity, course, and prognosis. Patients’ affect captured by clinicians during sessions may provide a rich source of information that more naturally aligns with the depression course and patient-desired depre...

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Bibliographic Details
Main Authors: Vanessa Panaite, Andrew R Devendorf, Dezon Finch, Lina Bouayad, Stephen L Luther, Susan K Schultz
Format: Article
Language:English
Published: JMIR Publications 2022-05-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2022/5/e34436

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https://formative.jmir.org/2022/5/e34436

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