Comparative Analysis of Classification of Neonatal Bilirubin by Using Various Machine Learning Approaches
Priti V Bhagat,
Mukesh M Raghuwanshi,
Ashutosh D Bagde
Abstract:Background
Neonatal jaundice poses significant risks to newborn health, necessitating early detection and management. Machine learning (ML) offers promising avenues for improving classification and monitoring, potentially revolutionizing neonatal care.
Materials and methods
A comparative analysis was conducted using various ML algorithms to classify neonatal bilirubin levels. Data were collected from neonatal images, and algorithms were trained and tested using standard methodo… Show more
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