A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

Pedro Alves¹, Carl D Marci², Chandra J Cohen-Stavi¹, Katelynn Murray Whelan³, Costas Boussios¹

¹OM1, Inc., Boston, MA, United States of America.

²OM1, Inc., Boston, MA, United States of America; Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America. Electronic address: cmarci@om1.com.

³University College Dublin School of Medicine, Dublin, Ireland.

PubMed DOI

Abstract

BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical practice inhibits measurement of treatment follow-up for patients with major depressive disorder (MDD). This study developed, validated and applied a machine learning model to estimate PHQ-9 scores for MDD patients using relevant notes from electronic medical records (EMR). METHODS: Information from…

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