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

Desai, P. M., Harkins, S., Rahman, S., Kumar, S., Hermann, A., Joly, R., Zhang, Y., Pathak, J., Kim, J., D’Angelo, D., Benda, N. C., & Reading Turchioe, M. (2023). Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. Journal of the American Medical Informatics Association, 31(2), 289–297. https://doi.org/10.1093/jamia/ocad198
Authors:
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
Affiliated Authors:
Pooja M Desai
Sarah Harkins
Natalie C Benda
Meghan Reading Turchioe
Subjects:
Author Keywords:
data visualization
health communication
machine learning
postpartum depression
Publication Type:
Article
Unique ID:
10.1093/jamia/ocad198
PMID:
Publication Date:
Data Source:
PubMed

Record Created: