A Review of Challenges and Opportunities in Machine Learning for Health

Understand

Modern electronic health records (EHRs) provide data to answer clinically meaningful questions.

• The growing data in EHRs makes healthcare ripe for the use of machine learning.
• However, learning in a clinical setting presents unique challenges that complicate the use of common machine learning methodologies.
• For example, diseases in EHRs are poorly labeled, conditions can encompass multiple underlying endotypes, and healthy individuals are underrepresented.