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The purpose of the research work is to predict the level of jaundice to create an amazing and accurate model that classifies the severity of jaundice consistently with diverse standards such as bilirubin concentration, cardiac feature assessment affected person population and medical history, clinical personnel can use devices studying algorithms to correctly diagnose and classify sufferers according to specific degrees of jaundice making an allowance for well-timed intervention and personalized treatment plans. Those predictive models enhance patient care by allowing doctors to make better choices improve useful resource allocation and improve patient fitness.

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Jaundice Stages Prediction Using Supervised Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • M. Moorthi,
  • Keerthipriya,
  • Pooja,
  • C. H. C. Alexander,
  • Antony Athithan

摘要

The purpose of the research work is to predict the level of jaundice to create an amazing and accurate model that classifies the severity of jaundice consistently with diverse standards such as bilirubin concentration, cardiac feature assessment affected person population and medical history, clinical personnel can use devices studying algorithms to correctly diagnose and classify sufferers according to specific degrees of jaundice making an allowance for well-timed intervention and personalized treatment plans. Those predictive models enhance patient care by allowing doctors to make better choices improve useful resource allocation and improve patient fitness.