Alison Hermann

发表

Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women.

J. Pathak, Yiye Zhang, Shuojia Wang, 2020, Journal of affective disorders.

GABAA dysregulation as an explanatory model for late-onset postpartum depression associated with weaning and resumption of menstruation

Alison Hermann, C. Burke, Leah C. Susser, 2018, Archives of Women's Mental Health.

Identifying urban built environment factors in pregnancy care and maternal mental health outcomes

Oliver H. Gao, J. Pathak, A. Roychoudhury, 2021, BMC Pregnancy and Childbirth.

Reproductive Psychiatry: The Gap Between Clinical Need and Education.

S. Meltzer-Brody, Kara E. Driscoll, L. Osborne, 2015, The American journal of psychiatry.

Lithium Use and Non-use for Pregnant and Postpartum Women with Bipolar Disorder

Alison Hermann, Abigail Benudis, Alyson Gorun, 2019, Current Psychiatry Reports.

Meeting Maternal Mental Health Needs During the COVID-19 Pandemic.

V. Bergink, Alison Hermann, Elizabeth M. Fitelson, 2020, JAMA psychiatry.

An Intersectoral Approach to Study Built Environment Factors Affecting Postpartum Depression and Children’s Health Center for Transportation, Environment, and Community Health Final Report

E. Feuille, Pathak, Alison Hermann, 2021 .

Protection against hormone-mediated mood symptoms

Alison Hermann, Leah C. Susser, 2017, Archives of Women's Mental Health.

Selective serotonin reuptake inhibitors for depression in pregnancy.

Alison Hermann, Leah C. Susser, S. Sansone, 2016, American journal of obstetrics and gynecology.

Novel Neurosteroid Pharmaceuticals

Alison Hermann, Leah C. Susser, Clare Swanson, 2021 .

Women’s perspectives on the use of artificial intelligence (AI)-based technologies in mental healthcare

Natalie C. Benda, J. Pathak, Yiye Zhang, 2023, JAMIA open.

Response to SARS-Covid-19-related visitor restrictions on labor and delivery wards in New York City

V. Bergink, C. Monk, Catherine A. Birndorf, 2020, Archives of Women's Mental Health.

Using Machine Learning and Electronic Health Records to Predict Postpartum Depression [38E]

Yiye Zhang, Alison Hermann, Rochelle Joly, 2020 .

Reproductive Psychiatry: The Gap Between Clinical Need and Education.

S. Meltzer-Brody, Kara E. Driscoll, L. Osborne, 2015, The American journal of psychiatry.

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

Meghan Reading Turchioe, Alison Hermann, Rochelle Joly, 2023, J. Am. Medical Informatics Assoc..