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Spontaneous speech feature analysis for alzheimer's disease screening using a random forest classifier
Detecting Alzheimer's disease (AD) and disease progression based on the patient's speech not the patient's speech data can aid non-invasive, cost-effective, real-time early diagnostic and repetitive monitoring in minimum time and effort using machine learning (ML) classification appro...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712439/ https://www.ncbi.nlm.nih.gov/pubmed/36465088 http://dx.doi.org/10.3389/fdgth.2022.901419 |