Rochelle Joly

According to our database, Rochelle Joly authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 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

2021

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, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

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

Proceedings of the AMIA 2020, 2020