AIMC Topic: Apgar Score

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Validation of a machine learning algorithm for identifying infants at risk of hypoxic ischaemic encephalopathy in a large unseen data set.

Archives of disease in childhood. Fetal and neonatal edition Apr 17, 2025
OBJECTIVE: To validate a hypoxic ischaemic encephalopathy (HIE) prediction algorithm to identify infants at risk of HIE immediately after birth using readily available clinical data.
Female Infant, Newborn Machine Learning Algorithms Hypoxia-Ischemia, Brain Apgar Score Male Risk Assessment Humans
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Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

BMC pregnancy and childbirth Apr 1, 2022
BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorit...
Machine Learning Pregnancy Humans Tertiary Care Centers Female Tanzania Labor, Induced Infant, Newborn Delivery, Obstetric Apgar Score
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Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.

Frontiers in endocrinology Oct 29, 2021
BACKGROUND: While previous studies identified risk factors for diverse pregnancy outcomes, traditional statistical methods had limited ability to quantify their impacts on birth outcomes precisely. We aimed to use a novel approach that applied differ...
Birth Weight Labor, Induced China Thyrotropin Apgar Score Pregnancy Female Premature Birth Adult Humans Machine Learning
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Uterine Rupture Vaginal Birth after Cesarean Machine Learning ROC Curve Retrospective Studies Infant, Newborn Organ Size Pregnancy Apgar Score Area Under Curve Humans Adult Cesarean Section Female Gestational Age Fetal Weight Tertiary Care Centers Risk Assessment Extraction, Obstetrical Delivery, Obstetric Parity Feasibility Studies Trial of Labor Risk Factors Head
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Application of machine learning in identifying risk factors for low APGAR scores.

BMC pregnancy and childbirth May 8, 2025
BACKGROUND: Identifying the risk factors for low APGAR scores at birth is critical for improving neonatal outcomes and guiding clinical interventions.
Apgar Score Infant, Newborn Adult Risk Factors Pregnancy Humans Gestational Age Machine Learning Female
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