HAP 464: EHR Configuration & Data Analysis

Accuracy & Racial Bias

George Mason University

Accuracy of MM Index

Assigned Reading

  • Read section on checking the accuracy of predictions in the required textbook on pages 112-116
  • Sensitivity, specificity, and area under the curve PubMed►
  • Racial bias PubMed►

Learning Material

  1. Predicting outcomes Slides► Basic Ideas for Predicting► Walk through SQL►
  2. Product of values of data in one column Slides► Video►
  3. Constructing Receiver Operating Curves Slides► Video►
  4. Calculate Area under the Receiver Operating Curve Slides with Code►


Instruction for Submission of Assignments: Assignments should be submitted directly on Blackboard.  In rare situations assignments can be sent directly by email to the instructor. Submission should follow these rules:

  1. Include a summary 1 sentence at start of your answers. The summary should state if your answer matches answers provided.
  2. Submit your answers in a Jupyter Notebook Download► YouTube► Slides►
    • Nolan's guide on how to insert a plot in Jupyter YouTube►
  3. Submit you Jupyter file in Blackboard.

Task 1: Test the differences between race-neutral and race-specific models of response to antidepressants.

Task 2: Write result section in your All of Us project, following instructions provided under All of Us project


Copyright 2021 Farrokh Alemi, Ph.D. Most recent revision 02/23/2024.  This page is part of the course on Electronic Health Record Configuration and Data Analysis.