Sequential autoencoders for feature engineering and pretraining in major depressive disorder risk prediction.

Jones, Barrett W; Taylor, Warren D; Walsh, Colin G

Jones, Barrett W; Taylor, Warren D; Walsh, Colin G.

Afiliação

Jones BW; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
Taylor WD; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Walsh CG; Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, United States.

JAMIA Open ; 6(4): ooad086, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37818308

Palavras-chave

deep learning; depressive disorder; electronic health record; longitudinal studies; major; supervised machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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