Identifying Patient Populations

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  • Introduction: Identifying Patient Populations
    • Learn about computational phenotyping and how to use the technique to identify patient populations.
  • Tools: Clinical Data Types
    • Understand how different clinical data types can be used to identify patient populations. Begin developing a computational phenotyping algorithm to identify patients with type II diabetes.
  • Techniques: Data Manipulations and Combinations
    • Learn how to manipulate individual data types and combine multiple data types in computational phenotyping algorithms. Develop a more sophisticated computational phenotyping algorithm to identify patients with type II diabetes.
  • Techniques: Algorithm Selection and Portability
    • Understand how to select a single "best" computational phenotyping algorithm. Finalize and justify a phenotyping algorithm for type II diabetes.
  • Practical Application: Develop a Computational Phenotyping Algorithm to Identify Patients with Hypertension
    • Put your new skills to the test - develop an computational phenotyping algorithm to identify patients with hypertension.

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