- 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.