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Table 6 Results of the best prognostic model using the independent validation set (patient recruited in Coimbra, Table 3), for the Time Windows and the First Last approaches

From: Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

  AUC Sensitivity Specificity
  FL 2Y 3Y 4Y 5Y FL 2Y 3Y 4Y 5Y FL 2Y 3Y 4Y 5Y
Naïve Bayes 0.61 0.73 0.74 0.72 0.76 0.40 0.69 0.64 0.56 0.56 0.73 0.77 0.76 0.68 0.70
  1. The model was fine-tuned to the CV set (patient recruited in Lisbon, Table 3). cMCI represents the positive class