Patent ID: 9269046
Filing Date: 2016-02-23
CPC Classification: A61B,G06N,G16H

Claim Text:
1. A method of building a classifier for assessment of a subject's neurological condition, comprising the steps of: providing a processing device operatively connected to a memory device storing a reference database of clinical results collected from two or more neurocognitive and/or clinical symptoms assessments performed on a plurality of individuals in the presence or absence of brain abnormalities, the processing device comprising a processor configured to perform the steps of: extracting quantitative features from the clinical results; storing the extracted features in a pool of selectable features; selecting a subset of features from the pool of selectable features; constructing a multimodal classifier using the subset of features, wherein the subset of features includes features extracted from at least two different types of assessments; and determining classification accuracy of the multimodal classifier by using it to classify data records having a priori classification information.