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https://hdl.handle.net/20.500.14279/33206| Title: | Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study | Authors: | Ambrosini, Emilia Giangregorio, Chiara Lomurno, Eugenio Moccia, Sara Milis, Marios Loizou, Christos P. Azzolino, Domenico Cesari, Matteo Cid Gala, Manuel Galán de Isla, Carmen Gomez-Raja, Jonathan Borghese, Nunzio Alberto Matteucci, Matteo Ferrante, Simona |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | speech processing;Mini-Mental Status Examination;cognitive decline;machine learning;multilanguage | Issue Date: | 29-Apr-2024 | Source: | JMIR aging, 2024, vol. 7 | Volume: | 7 | Journal: | JMIR Aging | Abstract: | The rise in life expectancy is associated with an increase in long-term and gradual cognitive decline. Treatment effectiveness is enhanced at the early stage of the disease. Therefore, there is a need to find low-cost and ecological solutions for mass screening of community-dwelling older adults. | URI: | https://hdl.handle.net/20.500.14279/33206 | ISSN: | 25617605 | DOI: | 10.2196/50537 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Article | Affiliation : | Dipartimento di Fisica, Politecnico di Milano Scuola Superiore Sant’Anna Cyprus University of Technology |
Publication Type: | Peer Reviewed |
| Appears in Collections: | Άρθρα/Articles |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| aging-2024-1-e50537.pdf | 807.61 kB | Adobe PDF | View/Open |
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