The development and application of a prediction model for postpartum depression: optimizing risk assessment and prevention in the clinic-Reference-Cited by-同舟云学术

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The development and application of a prediction model for postpartum depression: optimizing risk assessment and prevention in the clinic

Published:2022-01 Issue: Volume:296 Page:434-442
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Yang Shu-Ting,Yang Si-Qi,Duan Kai-Ming,Tang Yong-Zhong,Ping An-Qi,Bai Zhi-Hong,Gao Kai,Shen Yang,Chen Ming-Hua,Yu Ri-Li,Wang Sai-Ying

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference50 articles.

1. Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods;Ahmed;European Heart Journal,2006

2. Development of a brief measure of postpartum distress;Allison;J Womens Health (Larchmt),2011

3. Postpartum depression: psychoneuroimmunological underpinnings and treatment;Anderson;Neuropsychiatric Disease and Treatment,2013

4. Combined treatment of major depression in patients with borderline personality disorder: A comparison with pharmacotherapy;Bellino;Canadian Journal of Psychiatry-Revue Canadienne De Psychiatrie,2006

5. CSF and plasma cytokines at delivery and postpartum mood disturbances;Boufidou;Journal of Affective Disorders,2009

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pandemi Kaygısı ile Anne Bebek Bağlanması ve Postpartum Depresyon Arasındaki İlişki;Turkish Journal of Family Medicine and Primary Care;2024-09-05

2. Construction of a depression risk prediction model for type 2 diabetes mellitus patients based on NHANES 2007–2014;Journal of Affective Disorders;2024-03

3. Predicting efficacy of sub-anesthetic ketamine/esketamine i.v. dose during course of cesarean section for PPD prevention, utilizing traditional logistic regression and machine learning models;Journal of Affective Disorders;2023-10

4. Predictive models for predicting the risk of maternal postpartum depression: A systematic review and evaluation;Journal of Affective Disorders;2023-07

5. Identifying patients requiring treatment for depression in the postpartum period from common electronic medical record data available antepartum using machine learning;2022-12-03

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