selected publications
- 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
- Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry. Frontiers in psychiatry. 2024 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: 61 -
Response to SARS-Covid-19-related visitor restrictions on labor and delivery wards in New York City.
Archives of women's mental health.
2020
Article
GET IT
Times cited: 17 -
Lithium Use and Non-use for Pregnant and Postpartum Women with Bipolar Disorder.
Current psychiatry reports.
2019
Information Resource
GET IT
Times cited: 3 -
GABAA dysregulation as an explanatory model for late-onset postpartum depression associated with weaning and resumption of menstruation.
Archives of women's mental health.
2018
Information Resource
GET IT
Times cited: 5 -
A simple, efficient tool for assessment of mice after unilateral cortex injury.
Journal of neuroscience methods.
2007
Academic Article
GET IT
Times cited: 38