Table 10 Summary of the best AUC results obtained with the triclustering-based classification approach with static features added for each of the target endpoints according to each of the considered time windows. These results considered the best parameters and classifiers as depicted in Table 8. C1, need for NIV; C2, need for an auxiliary communication device; C3, need for PEG; C4, need for a caregiver, and C5, need for a wheelchair.

From: Triclustering-based classification of longitudinal data for prognostic prediction: targeting relevant clinical endpoints in amyotrophic lateral sclerosis