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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2022-05-01
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Series: | JMIR Formative Research |
Online Access: | https://formative.jmir.org/2022/5/e34436 |