Visualizing machine learning-based predictions of postpartum depression risk for lay audiences.
To determine if different formats for conveying machine learning (ML)-derived postpartum depression risks impact patient classification of recommended actions (primary outcome) and intention to seek care, perceived risk, trust, and preferences (secondary outcomes).
Author(s): Desai, Pooja M, Harkins, Sarah, Rahman, Saanjaana, Kumar, Shiveen, Hermann, Alison, Joly, Rochelle, Zhang, Yiye, Pathak, Jyotishman, Kim, Jessica, D'Angelo, Deborah, Benda, Natalie C, Reading Turchioe, Meghan
DOI: 10.1093/jamia/ocad198