Diagnosis of Alzheimer's disease and behavioral variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms.

Our study found high levels of accuracy for diagnosis using exclusively neuropsychological tests, which supports the usefulness of cognitive assessment in diagnosis. Machine learning may have a role in improving the interpretation and test selection. This article is protected by copyright. All rights reserved.