AIMC Topic: Premature Birth

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Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models.

Medical science monitor : international medical journal of experimental and clinical research Dec 21, 2024
BACKGROUND Subchorionic hematoma (SCH) can lead to blood accumulation and potentially affect pregnancy outcomes. Despite being a relatively common finding in early pregnancy, the effects of SCH on pregnancy outcomes such as miscarriage, stillbirth, a...
Stillbirth Chorion Adult Pregnancy Outcome Logistic Models Birth Weight Female Abortion, Spontaneous Infant, Newborn Hematoma Humans Premature Birth Pregnancy Complications Machine Learning Risk Factors Gestational Age Pregnancy
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Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China.

BMC pregnancy and childbirth Dec 4, 2024
BACKGROUND: Preterm birth (PTB) is a significant cause of neonatal mortality and long-term health issues. Accurate prediction and timely prevention of PTB are essential for reducing associated child mortality and morbidity. Traditional predictive met...
Pregnancy Female Infant, Newborn Premature Birth Humans Machine Learning Surveys and Questionnaires Child, Preschool ROC Curve Logistic Models Bayes Theorem Risk Factors Adult Male China
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Machine learning model-based preterm birth prediction and clinical nomogram: A big retrospective cohort study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Nov 18, 2024
OBJECTIVE: This study sought to develop a multifactorial predictive model for preterm birth risk, with the goal of providing clinical practitioners with early prevention.
Humans Machine Learning Retrospective Studies Risk Factors Adult Risk Assessment ROC Curve Logistic Models Pregnancy Female Infant, Newborn Premature Birth Nomograms
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Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches.

Scientific reports Sep 20, 2024
To predict preterm birth (PTB) in multiparous women, comparing machine learning approaches with traditional logistic regression. A population-based cohort study was conducted using data from the Ontario Better Outcomes Registry and Network (BORN). Th...
Logistic Models Adult Cohort Studies ROC Curve Ontario Neural Networks, Computer Machine Learning Pregnancy Female Infant, Newborn Premature Birth Parity Risk Factors Humans
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Identification of key metabolism-related genes and pathways in spontaneous preterm birth: combining bioinformatic analysis and machine learning.

Frontiers in endocrinology Aug 20, 2024
BACKGROUND: Spontaneous preterm birth (sPTB) is a global disease that is a leading cause of death in neonates and children younger than 5 years of age. However, the etiology of sPTB remains poorly understood. Recent evidence has shown a strong associ...
Computational Biology Infant, Newborn Humans Databases, Genetic Premature Birth Machine Learning Metabolic Networks and Pathways Gene Expression Profiling Pregnancy Placenta Gene Regulatory Networks Female
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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.

BMC public health Jul 29, 2024
BACKGROUND: Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth, remain a major global health challenge, particularly in developing regions. Understanding the possible risk factors is crucial for designing effective inte...
Africa South of the Sahara Infant, Low Birth Weight Stillbirth Young Adult Adult Humans Adolescent Pregnancy Outcome Machine Learning Infant, Newborn Premature Birth Risk Factors Pregnancy Female
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Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model.

BMC pregnancy and childbirth Jun 22, 2024
BACKGROUND: Differential exposure to chronic stressors by race/ethnicity may help explain Black-White inequalities in rates of preterm birth. However, researchers have not investigated the cumulative, interactive, and population-specific nature of ch...
Humans Machine Learning Pregnancy Black or African American Female White Risk Assessment Stress, Psychological United States White People Premature Birth Risk Factors Young Adult Adult
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Exploring the potential of machine learning in gynecological care: a review.

Archives of gynecology and obstetrics Apr 16, 2024
Gynecological health remains a critical aspect of women's overall well-being, with profound implications for maternal and reproductive outcomes. This comprehensive review synthesizes the current state of knowledge on four pivotal aspects of gynecolog...
Premature Birth Breast Neoplasms Uterine Cervical Neoplasms Gynecology Artificial Intelligence Machine Learning Humans Pregnancy Female
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Computational Approaches for Predicting Preterm Birth and Newborn Outcomes.

Clinics in perinatology Mar 8, 2024
Preterm birth (PTB) and its associated morbidities are a leading cause of infant mortality and morbidity. Accurate predictive models and a better biological understanding of PTB-associated morbidities are critical in reducing their adverse effects. I...
Premature Birth Infant Mortality Electronic Health Records Social Determinants of Health Humans Pregnancy Artificial Intelligence Female Infant, Newborn
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Placental differences between severe fetal growth restriction and hypertensive disorders of pregnancy requiring early preterm delivery: morphometric analysis of the villous tree supported by artificial intelligence.

American journal of obstetrics and gynecology Feb 27, 2024
BACKGROUND: The great obstetrical syndromes of fetal growth restriction and hypertensive disorders of pregnancy can occur individually or be interrelated. Placental pathologic findings often overlap between these conditions, regardless of whether 1 o...
Placenta Ultrasonography, Doppler Fetal Growth Retardation Hypertension, Pregnancy-Induced Humans Chorionic Villi Female Artificial Intelligence Umbilical Arteries Premature Birth Retrospective Studies Adult Pregnancy Cohort Studies
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