Furthermore, an accurate prediction of onset age in nonaffected individuals is highly significant for the design of prophylactic clinical trials. 3 Indeed, in Huntington disease and spinocerebellar ataxia (SCA)3 and SCA6, methods for predicting age at onset using parametric survival analysis have been demonstrated. 2 - 5 However, development of methods with more predictive accuracy than parametric survival analyses has been desirable.
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Machine Learning Approach for the Prediction of Age-Specific Probability of SCA3 and DRPLA by Survival Curve Analysis.
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