Fetus is referred to the unborn baby that develops and grows inside the mother’s womb.
Pregnancy is a highly sensitive period both for the mother and fetus, as there can be multiple factors constantly influencing their health. Many times, there can be complications in the fetus which requires immediate medical attention and even a minor delay can cause mortality.
So a proper, dedicated analysis of fetal health to identify fetuses which are at the risk category is a crucial task for medical professionals. Hence, machine learning models can play a major role in classifying fetal health based on different medical factors.
Learn to apply classification algorithms to analyze fetal health based on different attributes and classify the fetal health status depending on the risk level.
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