Use Machine Learning to Predict Alzheimer's Disease by Using Handwriting Movements
The DARWIN dataset includes handwriting data from 174 participants. The classification task consists in distinguishing Alzheimer’s disease patients from healthy people.
For what purpose was the dataset created?
The DARWIN dataset was created to allow researchers to improve the existing machine learning methodologies for the prediction of Alzheimer's disease via handwriting analysis.
Citation Requests/Acknowledgements
N. D. Cilia, C. De Stefano, F. Fontanella, A. S. Di Freca, An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis, Procedia Computer Science 141 (2018) 466–471. https://doi.org/10.1016/j.procs.2018.10.141
N. D. Cilia, G. De Gregorio, C. De Stefano, F. Fontanella, A. Marcelli, A. Parziale, Diagnosing Alzheimer’s disease from online handwriting: A novel dataset and performance benchmarking, Engineering Applications of Artificial Intelligence, Vol. 111 (20229) 104822. https://doi.org/10.1016/j.engappai.2022.104822
Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking By Nicole D. Cilia, Giuseppe De Gregorio , Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale . 2022
Published in Journal
Francesco Fontanella [email protected]