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To address time constraints in healthcare, we are launching a machine learning project to identify patients with serious diseases (heart disease, diabetes, pneumonia, and brain tumor) early on. This will allow for timely and efficient treatment. By meticulously gathering, examining, and purifying diverse datasets, we identified the best methods and attained noteworthy precision. The utilization of state-of-the-art technologies guarantees reliable and accurate forecasts for all four models, and the easy-to-use Flask website streamlines the procedure, potentially saving patients’ and medical professionals’ lives by facilitating early disease identification. This initiative bridges the gap between the most recent diagnostic tools and urgent healthcare services by combining machine learning, data analytics, and data science.

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A Holistic Disease Prediction System with Machine Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Dwij Patel,
  • Naman Patel,
  • Shlok Patel,
  • Priyal Shah,
  • Sachi Joshi,
  • Vedkumar Patel,
  • Hitesh Makwana

摘要

To address time constraints in healthcare, we are launching a machine learning project to identify patients with serious diseases (heart disease, diabetes, pneumonia, and brain tumor) early on. This will allow for timely and efficient treatment. By meticulously gathering, examining, and purifying diverse datasets, we identified the best methods and attained noteworthy precision. The utilization of state-of-the-art technologies guarantees reliable and accurate forecasts for all four models, and the easy-to-use Flask website streamlines the procedure, potentially saving patients’ and medical professionals’ lives by facilitating early disease identification. This initiative bridges the gap between the most recent diagnostic tools and urgent healthcare services by combining machine learning, data analytics, and data science.