A system for prediction of cognitive decline of a patient during a future time period, comprising: an input receiving input data corresponding to brain activity of an individual; and a processor coupled to the input for analyzing the input data to obtain a selected set of features, the processor comparing (130, 135, 140) the selected set of features to entries in a database corresponding to brain activity of a plurality of individuals, wherein entries in the database have been separated into a plurality of categories corresponding to a degree of cognitive decline of the individual at a time in the future, the processor determining, based on the comparison, a category most closely corresponding to the selected set of features, and wherein the determining of the category specifically comprises: inputting the selected features to a discriminant function to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 1) of future cognitive decline; inputting the selected features to a cluster analysis to determine the relative probability of membership in two or more clusters reflecting different cognitive decline and using said relative probability of membership to predict a probability (P 2) of future cognitive decline; inputting the selected features to a logistic regression, to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 3) of future cognitive decline; converting each computed probability (P 1, P 2, P 3) to a confidence level using Receiver Operating Characteristic curves; and combining the results of the discriminant function, the cluster analysis and the logistic regression by means of a voting strategy. an input receiving input data corresponding to brain activity of an individual; and a processor coupled to the input for analyzing the input data to obtain a selected set of features, the processor comparing (130, 135, 140) the selected set of features to entries in a database corresponding to brain activity of a plurality of individuals, wherein entries in the database have been separated into a plurality of categories corresponding to a degree of cognitive decline of the individual at a time in the future, the processor determining, based on the comparison, a category most closely corresponding to the selected set of features, and wherein the determining of the category specifically comprises: inputting the selected features to a discriminant function to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 1) of future cognitive decline; inputting the selected features to a cluster analysis to determine the relative probability of membership in two or more clusters reflecting different cognitive decline and using said relative probability of membership to predict a probability (P 2) of future cognitive decline; inputting the selected features to a logistic regression, to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 3) of future cognitive decline; converting each computed probability (P 1, P 2, P 3) to a confidence level using Receiver Operating Characteristic curves; and combining the results of the discriminant function, the cluster analysis and the logistic regression by means of a voting strategy. inputting the selected features to a discriminant function to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 1) of future cognitive decline; inputting the selected features to a cluster analysis to determine the relative probability of membership in two or more clusters reflecting different cognitive decline and using said relative probability of membership to predict a probability (P 2) of future cognitive decline; inputting the selected features to a logistic regression, to determine the relative probability of two or more states of cognitive decline and using said relative probability to predict a probability (P 3) of future cognitive decline; converting each computed probability (P 1, P 2, P 3) to a confidence level using Receiver Operating Characteristic curves; and combining the results of the discriminant function, the cluster analysis and the logistic regression by means of a voting strategy.