AIMC Topic: Depression, Postpartum

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Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection: Cross-Sectional Study.

JMIR formative research May 23, 2025
BACKGROUND: Postpartum depression (PPD) is a mood disorder affecting 1 in 7 women after childbirth that is often underscreened and underdetected. If not diagnosed and treated, PPD is associated with long-term developmental challenges in the child and...
Pregnancy Female Young Adult Humans Time Factors Mass Screening Postpartum Period Depression, Postpartum Adult Cross-Sectional Studies Wearable Electronic Devices
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Postpartum depression in Northeastern China: a cross-sectional study 6 weeks after giving birth.

Frontiers in public health May 21, 2025
INTRODUCTION: Postpartum depression (PPD) is a prevalent mental health issue that poses significant challenges to maternal wellbeing and infant development. We aimed to determine the prevalence of PPD and to investigate its associated determinants an...
Mothers Depression, Postpartum Female Risk Factors Young Adult Prevalence China Adult Cross-Sectional Studies Humans Pregnancy
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Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review.

BMJ mental health Apr 15, 2025
AIM: The adoption of artificial intelligence (AI) tools is gaining traction in maternal mental health (MMH) research. Despite its growing usage, little is known about its prospects and challenges in low- and middle-income countries (LMICs). This stud...
Artificial Intelligence Pregnancy Female Anxiety Humans Depression, Postpartum Depression Developing Countries Pregnancy Complications
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A method for predicting postpartum depression via an ensemble neural network model.

Frontiers in public health Apr 14, 2025
INTRODUCTION: Postpartum depression (PPD) has numerous adverse impacts on the families of new mothers and society at large. Early identification and intervention are of great significance. Although there are many existing machine learning classifiers...
Humans Neural Networks, Computer Adult Depression, Postpartum Machine Learning Female
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Prediction of postpartum depression in women: development and validation of multiple machine learning models.

Journal of translational medicine Mar 7, 2025
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several...
Young Adult Adult Risk Assessment Female Reproducibility of Results Risk Factors Logistic Models Depression, Postpartum Humans Neural Networks, Computer Machine Learning Algorithms Pregnancy
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Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

JMIR medical informatics Jan 20, 2025
BACKGROUND: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.
Adult China Humans Depression, Postpartum Pregnancy ROC Curve Machine Learning Female Retrospective Studies Risk Factors
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A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.

Journal of proteome research Jan 7, 2025
Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic analyses of PPD-risk women remain limited. This study analyzed plasma samples from 30 healthy postpartum women and 30 PPD-risk women using mass spectrome...
Depression, Postpartum Proteomics Blood Proteins Principal Component Analysis Female Adult ROC Curve Machine Learning Biomarkers Humans
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Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample.

Genes Nov 26, 2024
BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using a multi-polygenic score approach, we characterized the relationship between genome-wide information and the history of PPD in patients with mood disor...
Multifactorial Inheritance Pregnancy Female Adult Humans Depressive Disorder, Major Italy Machine Learning Bipolar Disorder Depression, Postpartum Genome-Wide Association Study Peripartum Period Genetic Predisposition to Disease
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Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research.

Journal of affective disorders Aug 16, 2024
BACKGROUND: Our study delves into postpartum depression (PPD) extending observation up to six months postpartum, addressing the gap in long-term follow-ups and uncover critical intervention points.
Cohort Studies Humans Female Depression, Postpartum Follow-Up Studies Machine Learning Adult Risk Factors East Asian People Pregnancy Prevalence Young Adult China
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Early identification of postpartum depression using machine learning.

Psychiatry and clinical neurosciences Apr 15, 2024
Adult Early Diagnosis Depression, Postpartum Humans Machine Learning Female
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