Predictive Analytics for Patient Readmission

By Zafri Categories: Healthcare Technology
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About Course

  • Tools & Languages: Python, R, SQL, Tableau, AWS, Scikit-Learn
  • Objective: Develop a predictive analytics model to identify patients at risk of readmission within 30 days post-discharge. Analyze historical patient data to extract features and apply machine learning algorithms. Create visualizations using Tableau to present insights to healthcare providers.
  • Skills Needed: Data analysis (Python, R), machine learning (Scikit-Learn), database management (SQL), data visualization (Tableau), cloud computing (AWS).

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