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Heart disease is a serious health concern that affects a large population worldwide. This work addresses these cardiac problems in a novel way by utilizing a variety of machine learning (ML) algorithms. Our research builds predictive models targeted at early detection and the creation of customized treatment plans by analyzing extensive patient data. It holds the key to a major breakthrough in cardiovascular care, allowing for early detection and personalized prevention strategies. The main goal is to provide innovative resources to medical professionals so that they can anticipate and treat heart diseases proactively and achieve better results.

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Enhancing Cardiovascular Health Prediction: A Machine Learning Perspective

  • 会议论文

  • 发表日期：

    2025年

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  • Ratnam Dodda,
  • Abhishek Reddy Bonam,
  • Srinidhi Sakinala,
  • Prithika Reddy Dendhi

摘要

Heart disease is a serious health concern that affects a large population worldwide. This work addresses these cardiac problems in a novel way by utilizing a variety of machine learning (ML) algorithms. Our research builds predictive models targeted at early detection and the creation of customized treatment plans by analyzing extensive patient data. It holds the key to a major breakthrough in cardiovascular care, allowing for early detection and personalized prevention strategies. The main goal is to provide innovative resources to medical professionals so that they can anticipate and treat heart diseases proactively and achieve better results.