Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34436, first published .
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

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

JMIR Formative Res: The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression… https://t.co/s53lBwvCbe

1:02 PM · May 12, 2022

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RT @jmirpub: JMIR Formative Res: The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-…

1:02 PM · May 12, 2022

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RT @jmirpub: JMIR Formative Res: The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-…

1:19 PM · May 12, 2022

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#NLP "The Value of Extracting Clinician-Recorded Affect for Advancing Clinical Research on Depression: Proof-of-Con… https://t.co/IgnOuCa2Le

11:20 PM · May 13, 2022

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This was a fun project with friends and mentors. Proof of concept that MH providers regularly document patient affe… https://t.co/CXnOXLoY6I

12:36 AM · May 22, 2022

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