AIMC Topic: Reproductive History

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Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015.

Scientific reports Mar 24, 2020
Quantification of stillbirth risk has potential to support clinical decision-making. Studies that have attempted to quantify stillbirth risk have been hampered by small event rates, a limited range of predictors that typically exclude obstetric histo...
Humans Machine Learning Algorithms Pregnancy Female Prenatal Care Risk Assessment Cohort Studies Socioeconomic Factors Pregnancy Complications Maternal Age Western Australia Live Birth Stillbirth Reproductive History
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Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.

Studies in health technology and informatics Sep 4, 2020
Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This is especially valid in the countries with multilevel health care institutions like Russia. In Russia ...
Humans Machine Learning Retrospective Studies Electronic Health Records Pregnancy Female Russia Reproductive History
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An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine Feb 1, 2017
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...
Humans Neural Networks, Computer Pregnancy Female Risk Factors Adult Sensitivity and Specificity Diet Case-Control Studies Logistic Models Socioeconomic Factors Health Status Maternal Exposure Heart Defects, Congenital Reproductive History
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