Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk
Md Nurul Raihen,
Sultana Akter
Abstract:By analyzing maternal age, heart rate, blood oxygen level, blood pressure, and body temperature, it has the potential to evaluate the risk complexity for certain patients. Early identification and classification of risk variables can successfully prevent pregnancy-related issues by reducing the number of errors. Maternal risk analysis can improve prenatal care, improve mother and baby health, and optimize healthcare resources by identifying misclassified observations using machine learning algorithms such as L… Show more
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