Symbolic Data Analysis (SDA) extends classical statistical methods to handle complex data units that are not single values but symbols representing distributions, intervals, lists or histograms. By ...
Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia This is a retrospective cohort study of patients ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results