A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.
Huang, Lung-Cheng, Hsu, Sen-Yen, Lin, Eugene·Journal of translational medicine·2009
Researchers used computer algorithms to analyze genetic variations (called SNPs) in people with ME/CFS to see if they could predict who has the disease. They tested different mathematical approaches to find the most important genes linked to ME/CFS. Their best-performing method combined a technique called naive Bayes with a process that identified the most relevant genetic markers, suggesting this approach could help identify genetic patterns in ME/CFS.