AIMC Topic: Premature Birth

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Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.

Studies in health technology and informatics Jul 24, 2024
We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stres...
Female Premature Birth Machine Learning Pregnancy Risk Assessment Stress, Psychological Risk Factors Adult Humans Black or African American White United States
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Biomarker Identification for Preterm Birth Susceptibility: Vaginal Microbiome Meta-Analysis Using Systems Biology and Machine Learning Approaches.

American journal of reproductive immunology (New York, N.Y. : 1989) Jul 1, 2024
PROBLEM: The vaginal microbiome has a substantial role in the occurrence of preterm birth (PTB), which contributes substantially to neonatal mortality worldwide. However, current bioinformatics approaches mostly concentrate on the taxonomic classific...
Premature Birth Systems Biology Female Infant, Newborn Disease Susceptibility Vagina Humans Biomarkers Machine Learning Pregnancy RNA, Ribosomal, 16S Microbiota
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Towards an Explainable AI-Based Tool to Predict Preterm Birth.

Studies in health technology and informatics May 18, 2023
Preterm birth (PTB) is defined as delivery occurring before 37 weeks of gestation. In this paper, Artificial Intelligence (AI)-based predictive models are adapted to accurately estimate the probability of PTB. In doing so, pregnant women' objective r...
Infant, Newborn Premature Birth Benchmarking Pregnancy Female Algorithms Humans Artificial Intelligence Machine Learning
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Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

Briefings in bioinformatics Sep 2, 2021
OBJECTIVE: Development of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML)...
Female Premature Birth Humans Prenatal Care Computational Biology Phenotype Live Birth Perinatal Care Placenta Pregnancy Machine Learning Stillbirth Abortion, Spontaneous
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Robot-Assisted Abdominal Cerclage During Pregnancy.

JSLS : Journal of the Society of Laparoendoscopic Surgeons Jan 1, 2016
BACKGROUND AND OBJECTIVES: Cervical insufficiency is a difficult condition to diagnose and can lead to preterm birth, miscarriage, or perinatal infant morbidity and mortality. We conducted this retrospective case study and literature review to evalua...
Robotics Pregnancy Complications Female Uterine Cervical Incompetence Retrospective Studies Infant, Newborn Gestational Age Pregnancy Pregnancy Outcome Humans Premature Birth Cerclage, Cervical Adult
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