Comprehensive Classification of Fetal Health Using Cardiotocogram Data Based on Machine Learning
Ahmed Alkurdi,
Dr. Adnan M. Abdulazeez
Abstract:In the realm of obstetrics, the evaluation of fetal health remains a paramount yet challenging endeavor. Traditional approaches, such as electronic fetal monitoring (EFM), despite their widespread adoption, continue to grapple with uncertainties regarding their impact on neonatal outcomes and the reduction of emergency cesarean deliveries. This ambiguity is compounded by a prevailing confusion within the obstetric community about interpreting fetal heart rate patterns, often leading to inconsistent and subject… Show more
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