Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research-Reference-Cited by-同舟云学术

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research

Published:2022-08-20 Issue:5 Volume:25 Page:965-973
ISSN:1434-1816
Container-title:Archives of Women's Mental Health
language:en
Short-container-title:Arch Womens Ment Health

Author:

Preis Heidi^ORCID,Djurić Petar M.^ORCID,Ajirak Marzieh^ORCID,Chen Tong,Mane Vibha^ORCID,Garry David J.^ORCID,Heiselman Cassandra^ORCID,Chappelle Joseph^ORCID,Lobel Marci^ORCID

Funder

National Institute on Drug Abuse

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health,Obstetrics and Gynecology

Link

https://link.springer.com/content/pdf/10.1007/s00737-022-01259-z.pdf

Reference33 articles.

1. Abajobir AA, Maravilla JC, Alati R, Najman JM (2016) A systematic review and meta-analysis of the association between unintended pregnancy and perinatal depression. J Affect Disord 192:56–63. https://doi.org/10.1016/j.jad.2015.12.008

2. Accortt EE, Cheadle AC, Dunkel Schetter C (2015) Prenatal depression and adverse birth outcomes: an updated systematic review. Matern Child Health J 19(6):1306–1337. https://doi.org/10.1007/s10995-014-1637-2

3. American College of Obstetricians and Gynecologists (2018) ACOG Committee Opinion No. 757: screening for perinatal depression. Obstet Gynecol 132(5), e208-e212. https://doi.org/10.1097/aog.0000000000002927

4. Andersson S, Bathula DR, Iliadis SI, Walter M, Skalkidou A (2021) Predicting women with depressive symptoms postpartum with machine learning methods. Sci Rep 11(1):7877. https://doi.org/10.1038/s41598-021-86368-y

5. Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20(1):40–49. https://doi.org/10.1002/mpr.329

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