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Machine learning techniques have significantly impacted healthcare by enabling early detection of chronic diseases, leading to slightly reduced global mortality rates. However, the complexity of models and vast datasets requires careful selection and utilization of appropriate predictive models for specific diseases, leading to enhanced outcomes in healthcare systems. This article discusses recent research findings on the performance of various predictive models and their practical applications, providing insights for further advancements in healthcare.

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An Analytical Perspective of Machine Learning Predictive Models to Diagnose Chronic Diseases

  • 会议论文

  • 发表日期：

    2025年

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  • Rattan Pal Singh Rana,
  • Sudhanshu Gupta,
  • Umesh Gupta

摘要

Machine learning techniques have significantly impacted healthcare by enabling early detection of chronic diseases, leading to slightly reduced global mortality rates. However, the complexity of models and vast datasets requires careful selection and utilization of appropriate predictive models for specific diseases, leading to enhanced outcomes in healthcare systems. This article discusses recent research findings on the performance of various predictive models and their practical applications, providing insights for further advancements in healthcare.