Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Udacity

Applying AI to EHR Data

via Udacity

Go to class Write review

Overview

Step into healthcare innovation with this comprehensive Nanodegree. Master AI-driven analysis of electronic health records while navigating privacy, bias, and uncertainty to improve medical outcomes effectively.

Syllabus

  • Applying AI to EHR Data Introduction
    • This lesson will provide you with an Introduction to the EHR Data course outline, content, as well as introduce you to your instructor.
  • EHR Data Security and Analysis
    • In this lesson, you will learn about the importance of data security and the different standards that apply to EHR, as well as analyzing EHR data.
  • EHR Code Sets
    • In this lesson you will learn how to work with different EHR codes and how to map them properly to records.
  • EHR Transformations & Feature Engineering
    • In this lesson, you'll gain skills in feature engineering and transformation of EHR.
  • Building, Evaluating and Interpreting Models
    • In this final lesson, you'll be putting all of your skills together to build, evaluate and interpret ML models for Bias and Uncertainty.
  • Project: Patient Selection for Diabetes Drug Testing
    • In this project students will use what they learn in the classroom to apply AI in healthcare for patient data.

Taught by

Michael DAndrea

Reviews

Start your review of Applying AI to EHR Data

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.