Provider perspectives on the clinical utility of using a risk prediction tool for postpartum depression. - Annie C. Myers; Fariha Ahsan; Rochelle Joly; Alison Hermann; Yiye Zhang; Michael Laskoff; Jyotishman Pathak; Meghan Reading Turchioe (AMIA, 2020)

Deep Significance Clustering (DICE) a Heterogenous Population. - Yufang Huang; Yifan Liu; Peter A. D. Steel; Kelly M. Axsom; John R. Lee; Sri Lekha Tummalapalli; Alison Hermann; Rochelle Joly; Fei Wang 001; Jyotishman Pathak; Lakshminarayanan Subramanian; Yiye Zhang (AMIA, 2021)

Differing perspectives on artificial intelligence in mental healthcare among patients: a cross-sectional survey study. - Meghan Reading Turchioe; Pooja M. Desai; Sarah Harkins; Jessica Kim; Shiveen Kumar; Yiye Zhang; Rochelle Joly; Jyotishman Pathak; Alison Hermann; Natalie C. Benda (Frontiers Digit. Health, 2024)

Preparing for the bedside - optimizing a postpartum depression risk prediction model for clinical implementation in a health system. - Yifan Liu; Rochelle Joly; Meghan Reading Turchioe; Natalie C. Benda; Alison Hermann; Ashley Beecy; Jyotishman Pathak; Yiye Zhang (J. Am. Medical Informatics Assoc., 2024)

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 (J. Am. Medical Informatics Assoc., 2024)