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

Journal of affective disorders, 2021-01, Vol.279, p.1-8

2021

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Editorial: Women in psychiatry 2023: Perinatal psychiatry

Frontiers in psychiatry, 2024-10, Vol.15

2024

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Selective serotonin reuptake inhibitors for depression in pregnancy

American journal of obstetrics and gynecology, 2016-12, Vol.215 (6), p.722-730

2016

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Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry

Frontiers in psychiatry, 2024-01, Vol.14, p.1321265-1321265

2024

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Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

Journal of medical Internet research, 2024-04, Vol.26 (2), p.e47484-e47484

2024

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

Archives of women's mental health, 2019-02, Vol.22 (1), p.55

2019

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Protection against hormone-mediated mood symptoms

Archives of women's mental health, 2017-04, Vol.20 (2), p.355-356

2017

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

Archives of women's mental health, 2019-02, Vol.22 (1), p.55-63

2019

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

BMC pregnancy and childbirth, 2021-09, Vol.21 (1), p.599-11, Article 599

2021

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Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study

JMIR mental health, 2024-09, Vol.11, p.e58462

2024

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Meeting Maternal Mental Health Needs During the COVID-19 Pandemic

JAMA psychiatry (Chicago, Ill.), 2021-02, Vol.78 (2), p.123

2021

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A simple, efficient tool for assessment of mice after unilateral cortex injury

Journal of neuroscience methods, 2008-03, Vol.168 (2), p.431-442

2008

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

Current psychiatry reports, 2019-11, Vol.21 (11), p.114-10, Article 114

2019

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

Obstetrics and gynecology (New York. 1953), 2020-05, Vol.135 (1), p.59-60S

2020

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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, 2024-05, Vol.31 (6), p.1258-1267

2024

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A Cross-sectional Study of Patient Perspectives on Artificial Intelligence: A Comparison of Somatic Versus Mental Health Care

Journal of general internal medicine : JGIM, 2024-10

2024

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Finding Our Lanes: A Roadmap for Collaboration Between Academic Medical Centers and Behavioral Telehealth Companies

Harvard review of psychiatry, 2024-07, Vol.32 (4), p.140-149

2024

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

Journal of the American Medical Informatics Association : JAMIA, 2024-01, Vol.31 (2), p.289-297

2024

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GABA.sub.A dysregulation as an explanatory model for late-onset postpartum depression associated with weaning and resumption of menstruation

Archives of women's mental health, 2019-02, Vol.22 (1), p.55

2019

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

Archives of women's mental health, 2020-12, Vol.23 (6), p.793-794

2020

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Novel Neurosteroid Pharmaceuticals

Advances in psychiatry and behavioral health, 2021-09, Vol.1 (1), p.107-118

2021

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Reproductive Psychiatry: The Gap Between Clinical Need and Education

The American journal of psychiatry, 2015-10, Vol.172 (10), p.946-948

2015

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

JAMIA open, 2023-10, Vol.6 (3), p.ooad048

2023

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Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting

Applied clinical informatics, 2024-08, Vol.15 (4), p.692

2024

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The Postpartum Patient

The Psychiatric Consult, 2022, p.87-110

2022

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

Editorial: Women in psychiatry 2023: Perinatal psychiatry

Selective serotonin reuptake inhibitors for depression in pregnancy

Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry

Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study

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

Protection against hormone-mediated mood symptoms

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

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

Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study

Meeting Maternal Mental Health Needs During the COVID-19 Pandemic

A simple, efficient tool for assessment of mice after unilateral cortex injury

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

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

Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system

A Cross-sectional Study of Patient Perspectives on Artificial Intelligence: A Comparison of Somatic Versus Mental Health Care

Finding Our Lanes: A Roadmap for Collaboration Between Academic Medical Centers and Behavioral Telehealth Companies

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

GABA.sub.A dysregulation as an explanatory model for late-onset postpartum depression associated with weaning and resumption of menstruation

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

Novel Neurosteroid Pharmaceuticals

Reproductive Psychiatry: The Gap Between Clinical Need and Education

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

Sociodemographic Differences in Perspectives on Postpartum Symptom Reporting

The Postpartum Patient

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