Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.

Pooja M Desai,Sarah Harkins,Saanjaana Rahman, Shiveen Kumar,Alison Hermann,Rochelle Joly,Yiye Zhang,Jyotishman Pathak, Jessica Kim, Deborah D'Angelo,Natalie C Benda,Meghan Reading Turchioe

Journal of the American Medical Informatics Association : JAMIA（2023）

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摘要

All formats resulted high accuracy related to the classification outcome (primary), but there were nuanced differences in risk perceptions, behavioral intentions, and trust. Investigators should choose health data visualizations based on the primary goal they want lay audiences to accomplish with the ML risk score.

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关键词

data visualization, machine learning, postpartum depression, health communication

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