Chances and challenges of machine learning-based disease classification in genetic association studies illustrated on age-related macular degeneration.

Abstract excerpt

Imaging technology and machine learning algorithms for disease classification set the stage for high-throughput phenotyping and promising new avenues for genome-wide association studies (GWAS). Despite emerging algorithms, there has been no successful application in GWAS so far. We establish machine learning-based phenotyping in genetic association analysis as misclassification problem. To evaluate chances and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Diagnostic Errors