Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time.

Adam G Horwitz,Shane D Kentopp,Jennifer Cleary,Katherine Ross,Zhenke Wu,Srijan Sen,Ewa K Czyz

Psychological medicine（2022）

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摘要

Simpler ML methods may outperform more complex methods until passive-sensing features become better specified. For intensive longitudinal studies, there may be limited predictive value in collecting data for more than 2 months.

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关键词

Daily diary,depression,intensive longitudinal data,machine learning,medical interns,mood,passive sensing,suicidal ideation

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