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<p>Scientific research involving humans as subjects is being carried out in numerous approaches. There is an exigency for machine learning models to design and analyze these approaches in the medical field. This research paper intends to provide the various approaches for performing classification and regression in healthcare. Although relevant review work exists, the presented work aims to contribute innovation by providing every aspect related to classification and regression in healthcare for the benefit of research scholars. The emphasis is placed on selecting the accurate approach to providing solutions to the issues posed by the clinicians during the utilization. Finally, a description of complicated models from the simple model approach is provided, along with the challenges that occur when considering these approaches in applications. </p>

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Machine Learning Applications in Healthcare Systems: A Comprehensive Analysis of Benefits and Challenges

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Kanwarpreet Kaur,
  • Navneet Kaur

摘要

Scientific research involving humans as subjects is being carried out in numerous approaches. There is an exigency for machine learning models to design and analyze these approaches in the medical field. This research paper intends to provide the various approaches for performing classification and regression in healthcare. Although relevant review work exists, the presented work aims to contribute innovation by providing every aspect related to classification and regression in healthcare for the benefit of research scholars. The emphasis is placed on selecting the accurate approach to providing solutions to the issues posed by the clinicians during the utilization. Finally, a description of complicated models from the simple model approach is provided, along with the challenges that occur when considering these approaches in applications.