SYSTEM AND METHOD FOR DETECTION OF IMPAIRMENT IN COGNITIVE FUNCTION

One machine learning method is to predict whether a particular subject is at high risk of developing cognitive impairment based on data records from a particular subject, as well as a method of training a dual neural network for this. These methods can work by automatically classifying said subjects into Category I related to the risk of cognitive impairment from the first prediction or Category II related to the risk of cognitive impairment from the second prediction. Subject records were obtained, which included the first set of measurement data and the second set of data, including the results of two or more health assessment questionnaires; and a label that shows that the subject belongs to the first or second category. These records are used to train the first and second neural networks, and in the latter method, these trained networks are able to predict whether a given subject should belong to the first or second category described.