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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 , Age Specific Probability , Survival Curve Analysis , Machine Learning Approach , Neurology Genetics ,