Early Prophecy of Low-Birth-Weight Babies Using BM Error Rate Classifier

Approximately 15% to 20% of new born babies are underweight, according to a national survey. Low birth weight (LBW) is a symptom of sickness in new born babies. In later life, there are strong correlations between LBW, infant mortality, and other health problems. There is a clear correlation between mother health during pregnancy and birth weight, according to recent studies. In order to identify potential LBW patients early on, this publication uses machine learning techniques to collect relevant data from pregnancy-related health markers. The issue was restructured as a classification problem between the lower weight and NOT-Lower Weight classes using the Bayes classifier, transforming LBW detection into a binary machine classification task. High accuracy was reached by the suggested model.