AIMC Topic: Depression, Postpartum

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Early identification of postpartum depression using machine learning.

Psychiatry and clinical neurosciences Apr 15, 2024
Early Diagnosis Depression, Postpartum Female Adult Humans Machine Learning
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Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model.

Scientific reports Feb 24, 2024
Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and results in severe depression and suicide attempts in the social community. Prompt actions are crucial in tackling PPDD, which requires a quick recognition and accurate a...
Depressive Disorder Humans Deep Learning Depression, Postpartum Risk Factors Prevalence Female
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Large Language Models and Healthcare Alliance: Potential and Challenges of Two Representative Use Cases.

Annals of biomedical engineering Feb 3, 2024
Large language models (LLMS) emerge as the most promising Natural Language Processing approach for clinical practice acceleration (i.e., diagnosis, prevention and treatment procedures). Similarly, intelligent conversational systems that leverage LLMS...
Cognitive Dysfunction Natural Language Processing Depression, Postpartum Humans Female
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Design and Evaluation of a Postpartum Depression Ontology.

Applied clinical informatics Mar 9, 2022
OBJECTIVE: Postpartum depression (PPD) remains an understudied research area despite its high prevalence. The goal of this study is to develop an ontology to aid in the identification of patients with PPD and to enable future analyses with electronic...
Depression, Postpartum Biological Ontologies Female Humans Risk Factors Electronic Health Records Prevalence
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Predicting women with depressive symptoms postpartum with machine learning methods.

Scientific reports Apr 12, 2021
Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despite negative effects on mothers' and children's health, many women do not receive adequate care. Preventive interventions are cost-efficient among high...
Risk Factors Adult Mothers Depression, Postpartum Surveys and Questionnaires Prospective Studies Female Sweden Humans Machine Learning
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Policy forum. Data, privacy, and the greater good.

Science (New York, N.Y.) Jul 16, 2015
Large-scale aggregate analyses of anonymized data can yield valuable results and insights that address public health challenges and provide new avenues for scientific discovery. These methods can extend our knowledge and provide new tools for enhanci...
Artificial Intelligence Social Networking Humans Female Anonymous Testing Early Diagnosis Privacy Depression, Postpartum Policy Making
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A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 3, 2015
BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development of a screening program requires considerable and careful effort, where evidence-based decisions have to be taken in order to obtain an effective test w...
Depression, Postpartum Risk Factors Forecasting Surveys and Questionnaires Humans Adult Prospective Studies Sensitivity and Specificity Telemedicine Machine Learning Female
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Supporting Personalized prEgnancy Care wIth Artificial inteLligence (SPECIAL): An Acceptability Study of a Personalized Educational Platform.

Studies in health technology and informatics Aug 7, 2025
Postpartum depression (PPD) affects approximately 20% of pregnant individuals, yet half of these cases remain under-treated despite the availability of educational interventions. To address this gap, the Supporting Personalized prEgnancy Care wIth Ar...
Pregnancy Humans Female Artificial Intelligence Patient Education as Topic Precision Medicine Depression, Postpartum Adult Patient Acceptance of Health Care
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Predicting Postpartum Depression Risk Using Social Determinants of Health.

Studies in health technology and informatics Aug 7, 2025
Postpartum depression (PPD) affects approximately 20% of women after childbirth and has complex etiology. Existing predictive models of PPD lack training on large, national datasets and comprehensive integration of clinical and social determinants. T...
Machine Learning Pregnancy Female United States Adult Risk Factors Social Determinants of Health Risk Assessment Humans Depression, Postpartum
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Stratifying Risk for Postpartum Depression at Time of Hospital Discharge.

The American journal of psychiatry Jun 1, 2025
OBJECTIVE: Postpartum depression (PPD) is a major contributor to postpartum morbidity and mortality. Beyond efforts at routine screening, risk stratification models could enable more targeted interventions in settings with limited resources. The auth...
Humans Risk Factors Adult Risk Assessment Pregnancy Female Retrospective Studies Patient Discharge Depression, Postpartum
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