AIMC Topic: Birth Weight

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Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning.

Artificial intelligence in medicine Nov 17, 2019
Obstetric ultrasound examination of physiological parameters has been mainly used to estimate the fetal weight during pregnancy and baby weight before labour to monitor fetal growth and reduce prenatal morbidity and mortality. However, the problem is...
Humans Machine Learning Algorithms Pregnancy Female Birth Weight Adult Gestational Age Ultrasonography Fetal Development Models, Statistical Fetal Weight Predictive Value of Tests
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Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

Artificial intelligence in medicine Jul 25, 2019
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born...
Support Vector Machine Decision Trees Birth Weight Heart Rate Datasets as Topic Infant, Newborn Infant, Extremely Premature Deep Learning India Infant, Premature Gestational Age Intensive Care Units, Neonatal Clinical Decision Rules Apnea Humans Neural Networks, Computer Algorithms
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Automated retinopathy of prematurity screening using deep neural networks.

EBioMedicine Aug 27, 2018
BACKGROUND: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Automated ROP detection system is urgent and it appears to be a safe, reliable, and cost-effective complement to human experts.
Birth Weight Internet Databases as Topic Automation Gestational Age Retinopathy of Prematurity Infant Deep Learning ROC Curve Image Processing, Computer-Assisted Mass Screening Humans Neural Networks, Computer Algorithms
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17-hydroxiprogesterone values in healthy preterm infants.

Colombia medica (Cali, Colombia) Dec 30, 2017
INTRODUCTION: In preterm newborn, problems with the interpretation of 17-OHP may occur.
Humans Cohort Studies Female Enzyme-Linked Immunosorbent Assay Infant, Newborn Longitudinal Studies Male Adrenal Hyperplasia, Congenital Infant, Premature Follow-Up Studies Neonatal Screening Birth Weight Gestational Age 17-alpha-Hydroxyprogesterone
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Maternal urinary paraben levels and offspring size at birth from a Chinese birth cohort.

Chemosphere Dec 27, 2016
BACKGROUND: Parabens are suspected to impair fetal growth because of their endocrine disrupting effects. Epidemiological studies regarding the effects of prenatal exposure to parabens on birth outcomes are limited.
China Cohort Studies Birth Weight Humans Environmental Pollutants Fetal Development Pregnancy Body Height Linear Models Young Adult Female Parabens Infant, Newborn Adult Endocrine Disruptors Male Maternal Exposure Middle Aged
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Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

PloS one Apr 2, 2015
Preterm birth has been shown to induce an altered developmental trajectory of brain structure and function. With the aid support vector machine (SVM) classification methods we aimed to investigate whether MRI data, collected in adolescence, could be ...
Female Premature Birth Male Adolescent Cognition Support Vector Machine Magnetic Resonance Imaging Birth Weight Neuroimaging Humans Biomarkers Gray Matter Gestational Age
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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Intensive Care Units, Neonatal Logistic Models Socioeconomic Factors Bayes Theorem Birth Weight Outcome Assessment, Health Care Pregnancy Complications Pregnancy Humans Gestational Age Female Artificial Intelligence Risk Adjustment Premature Birth Diagnosis-Related Groups Prenatal Care Hospital Administration Hospital Mortality
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Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors.

Journal of biomedical informatics Jun 1, 2025
BACKGROUND: Neonatal low birth weight (LBW) is a significant predictor of increased morbidity and mortality among newborns. Predominantly, traditional prediction methods depend heavily on ultrasonography, which does not consider risk factors affectin...
Decision Support Systems, Clinical Birth Weight Infant, Low Birth Weight Female Infant, Newborn Risk Factors Humans Deep Learning Neural Networks, Computer Machine Learning Pregnancy
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Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

The Journal of clinical endocrinology and metabolism Apr 22, 2025
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabetes mellitus (GDM), has become a global concern. The predictive performance of common continuous glucose monitoring (CGM) metrics for LGA is limited.
Humans Machine Learning Prospective Studies Pregnancy Female Blood Glucose Self-Monitoring Diabetes, Gestational Gestational Age Fetal Macrosomia Infant, Large for Gestational Age Infant, Newborn Adult Blood Glucose Predictive Value of Tests Birth Weight
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Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Pediatrics Dec 1, 2021
BACKGROUND AND OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations of infants, most of whom will not develop severe disease. Previous wo...
Early Diagnosis Gestational Age Risk Retinopathy of Prematurity Artificial Intelligence Infant, Newborn Sensitivity and Specificity Severity of Illness Index Logistic Models Humans Predictive Value of Tests Area Under Curve Birth Weight Fundus Oculi
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