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Maximizing Patient Outcomes: The Impact of Predictive Models and Machine Learning in Healthcare

  • Writer: Fraoula
    Fraoula
  • Sep 22
  • 4 min read

In today's fast-paced healthcare environment, technology and data analytics are reshaping the way medical professionals diagnose and treat patients. Organizations like Mayo Clinic, Johnson & Johnson, and Pfizer are leading this change. They utilize predictive models to minimize diagnosis errors and enhance treatment pathways. This article explores how data pipelines, electronic health record (EHR) integration, and machine learning models—such as random forests, XGBoost, and survival analysis—contribute to better patient outcomes.

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