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Technology-Based Approaches for Supporting Perinatal Mental Health.
Curr Psychiatry Rep. 2022 Sep;24(9):419-429. doi: 10.1007/s11920-022-01349-w. Epub 2022 Jul 23.
2
Screening, Assessment, and Treatment of Perinatal Mental Health in Obstetrical Settings.
Clin Obstet Gynecol. 2024 Mar 1;67(1):134-153. doi: 10.1097/GRF.0000000000000840. Epub 2023 Dec 22.
3
Improving parental mental health in the perinatal period: A review and analysis of quality improvement initiatives.
Semin Perinatol. 2024 Apr;48(3):151906. doi: 10.1016/j.semperi.2024.151906. Epub 2024 Apr 18.
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Preventive interventions for perinatal mood and anxiety disorders: A review of selected programs.
Semin Perinatol. 2024 Oct;48(6):151944. doi: 10.1016/j.semperi.2024.151944. Epub 2024 Jul 14.
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Treating women with perinatal mood and anxiety disorders (PMADs) with a hybrid cognitive behavioural and art therapy treatment (CB-ART).
Arch Womens Ment Health. 2017 Feb;20(1):229-231. doi: 10.1007/s00737-016-0668-7. Epub 2016 Sep 19.
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Prevalence and predictors of symptoms of Perinatal Mood and anxiety Disorders among a sample of Urban Black Women in the South.
Matern Child Health J. 2022 Apr;26(4):770-777. doi: 10.1007/s10995-022-03425-2. Epub 2022 Mar 27.
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Societal costs of untreated perinatal mood and anxiety disorders in Vermont.
Arch Womens Ment Health. 2024 Aug;27(4):585-594. doi: 10.1007/s00737-024-01429-1. Epub 2024 Feb 7.
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Impact of Postpartum Mental Illness Upon Infant Development.
Curr Psychiatry Rep. 2017 Nov 6;19(12):100. doi: 10.1007/s11920-017-0857-8.
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Integrated perinatal mental health care: a national model of perinatal primary care in vulnerable populations.
Prim Health Care Res Dev. 2018 Jun 18;20:e77. doi: 10.1017/S1463423618000348.

引用本文的文献

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A framework for developing spouse-inclusive digital applications in preventing perinatal depression and anxiety.
Int J Nurs Sci. 2025 Apr 21;12(3):246-252. doi: 10.1016/j.ijnss.2025.04.014. eCollection 2025 May.
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Big data and AI for gender equality in health: bias is a big challenge.
Front Big Data. 2024 Oct 16;7:1436019. doi: 10.3389/fdata.2024.1436019. eCollection 2024.
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Navigating the Intersection of Technology and Depression Precision Medicine.
Adv Exp Med Biol. 2024;1456:401-426. doi: 10.1007/978-981-97-4402-2_20.
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Digital phenotyping of depression during pregnancy using self-report data.
J Affect Disord. 2024 Nov 1;364:231-239. doi: 10.1016/j.jad.2024.08.029. Epub 2024 Aug 11.
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Recentering responsible and explainable artificial intelligence research on patients: implications in perinatal psychiatry.
Front Psychiatry. 2024 Jan 18;14:1321265. doi: 10.3389/fpsyt.2023.1321265. eCollection 2023.
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Equitable reach: Patient and professional recommendations for interventions to prevent perinatal depression and anxiety.
Gen Hosp Psychiatry. 2023 Nov-Dec;85:95-103. doi: 10.1016/j.genhosppsych.2023.10.003. Epub 2023 Oct 9.
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Postpartum Mood Disorders: Insights into Diagnosis, Prevention, and Treatment.
Cureus. 2023 Jul 19;15(7):e42107. doi: 10.7759/cureus.42107. eCollection 2023 Jul.

本文引用的文献

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Estimation of postpartum depression risk from electronic health records using machine learning.
BMC Pregnancy Childbirth. 2021 Sep 17;21(1):630. doi: 10.1186/s12884-021-04087-8.
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Predicting women with depressive symptoms postpartum with machine learning methods.
Sci Rep. 2021 Apr 12;11(1):7877. doi: 10.1038/s41598-021-86368-y.
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Perinatal mental health: a review of progress and challenges.
World Psychiatry. 2020 Oct;19(3):313-327. doi: 10.1002/wps.20769.
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Social Media Markers to Identify Fathers at Risk of Postpartum Depression: A Machine Learning Approach.
Cyberpsychol Behav Soc Netw. 2020 Sep;23(9):611-618. doi: 10.1089/cyber.2019.0746. Epub 2020 Jun 16.
9
Machine Learning-Based Predictive Modeling of Postpartum Depression.
J Clin Med. 2020 Sep 8;9(9):2899. doi: 10.3390/jcm9092899.
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Telehealth Beyond COVID-19.
Psychiatr Serv. 2021 Jan 1;72(1):100-103. doi: 10.1176/appi.ps.202000368. Epub 2020 Aug 19.

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