ADAS-13 prediction accuracy performance for ADNI dataset.

Results are stratified by groups defined by the clinical workflow. Abbreviations are as follows. BL: baseline visit, CA: clinical attributes, CT: cortical thickness. BE: baseline edge-cases, FE: follow-up edge-cases, CC: cognitively consistent. The statistical comparison of LSN against other models was performed using Mann-Whitney-U test. Note that only BL+followup, CA+CT input is relevant for this comparison. For accuracy comparison, LSN offered significantly better performance over LR, SVM, RF, and ANN models for ‘All’, ‘FE’, ‘BE’, and ‘CC’ subsets.