Analysis of Speech Features in Alzheimer’s Disease with Machine Learning: A Case-Control Study
This study used machine learning to reveal speech features of patients diagnosed with AD in comparison with healthy elderly people. Significant differences were found between the two groups in all components of the spectrum, paving the way for early non-invasive diagnosis of AD in the future.
Authors
- Shinichi Noto (ORCID: https://orcid.org/0000-0002-6952-7770)
- Gen-ichiro Yamamoto
- Toshiaki Tamura (ORCID: https://orcid.org/0000-0002-0676-5173)
- Ryo Nagata
- Yuichi Sekiyama
Institutions
- Mizuho (Japan) (JP)
- Niigata University of Health and Welfare (JP)
Publication Details
- Journal
- Healthcare
- Published
- 2024-11-04
- DOI
- https://doi.org/10.3390/healthcare12212194
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Japan Society for the Promotion of Science