selected publications
- Implementation of a Machine Learning Risk Prediction Model for Postpartum Depression in the Electronic Health Records. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2024 Academic Article GET IT
- Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study. JMIR mental health. 2024 Academic Article GET IT
- Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system. Journal of the American Medical Informatics Association : JAMIA. 2024 Academic Article GET IT
- Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression. Frontiers in psychiatry. 2023 Academic Article GET IT
- Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. Journal of the American Medical Informatics Association : JAMIA. 2023 Academic Article GET IT
- Women's perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare. JAMIA open. 2023 Academic Article GET IT
- Identifying urban built environment factors in pregnancy care and maternal mental health outcomes. BMC pregnancy and childbirth. 2021 Academic Article GET IT
-
Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women.
Journal of affective disorders.
2020
Academic Article
GET IT
Times cited: 87