Evaluating Genetic-Based Disease Prediction Approaches Through Simulation
Max Shpak, Eric James Parfitt, Soroush Mahmoudiandehkordi, Mehdi Maadooliat, Steven J. Schrodi
This study evaluates genetic disease prediction methods using simulations, finding random forests most accurate, followed by logistic regression and naive Bayes, while neural networks performed worse.
Human Genetics · Jan 21, 2026Peer-reviewedGenetic & Genomic Medicine