PROCESSOR IMPLEMENTED SYSTEMS AND METHODS FOR MEASURING COGNITIVE ABILITIES
Abstract A computer-implemented method for assessing cognitive ability of an individual, comprising: receiving, by a computer processing system, a first plurality responses by the individual to a first task, the first task including first stimuli evoking the first plurality of responses from the individual over a period of time; receiving, by the computer processing system, a second plurality of responses by the individual to a second task, the second task including second stimuli evoking the second plurality of responses from the individual over the period of time, wherein the second stimuli are presented simultaneously with at least some of the first stimuli, wherein one or both of the first plurality of responses and the second plurality of responses (i) comprise at least one of motion by the individual or physiological input from the individual, and (ii) are detected using one or more sensors selected from the group consisting of an accelerometer, a touch screen, a gyroscope, and a physiological sensor; determining, by the computer processing system, that the first task and the second task are performed by the individual based on the first plurality of responses and the second plurality of responses; computing, by the computer processing system, a cognitive measure using one or both of the first plurality of responses and the second plurality of responses and external information, wherein computing the cognitive measure comprises: (i) determining a performance measure using one or both of the first plurality of responses and the second plurality of responses, wherein the performance measure comprises a quantitative or qualitative measure of one or more cognitive functions associated with one or more specific diseases or disease states, (ii) comparing the performance measure to the external information, wherein the external information comprises performance data for individuals with known cognitive conditions associated with the one or more specific diseases or disease states, and (iii) applying a computer data model comprising at least one machine learning technique to the performance measures and the external information, wherein the at least one machine learning technique is configured to analyze one or more patterns between the performance measures of the individual and the performance measures of the individuals with the known cognitive conditions to compute a predictive measure for the one or more specific diseases or disease states; and outputting, by the computer processing system, a cognitive assessment based on the cognitive measure, wherein the cognitive assessment comprises a diagnosis of the one or more specific diseases or an assessment of the one or more specific disease states.