Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening
The presented results suggest the suitability of ecological handwriting analysis for the all-around monitoring of MCI, from early screening to disease progression evaluation.
Authors
- Nicholas Diani
- Simone Toffoli (ORCID: https://orcid.org/0000-0002-7254-1362)
- Carlo Abbate (ORCID: https://orcid.org/0000-0002-0368-3834)
- Pietro Davide Trimarchi (ORCID: https://orcid.org/0000-0003-3282-5261)
- Simona Ferrante (ORCID: https://orcid.org/0000-0002-7835-1965)
- Francesca Lunardini (ORCID: https://orcid.org/0000-0003-4705-6733)
- Alessia Gallucci (ORCID: https://orcid.org/0000-0002-8520-674X)
- Edoardo Corno
- Emanuele Tomasini
Institutions
- Don Carlo Gnocchi Foundation (IT)
- Fondazione IRCCS Istituto Neurologico Carlo Besta (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-09-23
- DOI
- https://doi.org/10.2196/73074
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.47