Researchers predict the age of onset of polyglutamine diseases with machine learning
Using machine learning, researchers at the Department of Neurology at Niigata University have developed a model to predict the asymptomatic probability at each age from the current age and number of CAG repeats in carriers of spinocerebellar degeneration.
Yuya Hatano Niigata University Department Of Neurology At Niigata University Random Survival Forest Random Survival Forests Learning Approach
Source: medicalxpress.com