We develop methods to accurately predict whether pre-symptomatic individuals are at

We develop methods to accurately predict whether pre-symptomatic individuals are at risk of a disease based on their various marker profiles which offers an opportunity for early intervention well before definitive clinical diagnosis. in the analysis we propose a local smoothing large margin classifier implemented with support vector machine (SVM) to construct effective age-dependent classification… Continue reading We develop methods to accurately predict whether pre-symptomatic individuals are at