BMC Medical Informatics and Decision Making

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

The model was fine-tuned to the CV set (patient recruited in Lisbon, Table 3). cMCI represents the positive class

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