CLL-TIM Treatment and Infection Modelling for Chronic Lymphocytic Leukemia

CLL Treatment and Infection Modelling (CLL-TIM) is a model for predicting risk of infection or CLL treatment within the next 2-years. CLL-TIM is trained on a Danish dataset of 4149 patients diagnosed with CLL in the period of 2004-2017. The prediction of 28 machine-learning algorithms is combined into a single prediction using ensemble modelling. With CLL-TIM you are provided with

CLL-TIM Prediction Options
Download Example Templates to be used with Prediction Option 2