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Atypical Repetition in Daily Conversation on Different Days for Detecting Alzheimer Disease: Evaluation of Phone-Call Data From a Regular Monitoring Service
BACKGROUND: Identifying signs of Alzheimer disease (AD) through longitudinal and passive monitoring techniques has become increasingly important. Previous studies have succeeded in quantifying language dysfunctions and identifying AD from speech data collected during neuropsychological tests. Howeve...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996758/ https://www.ncbi.nlm.nih.gov/pubmed/31934870 http://dx.doi.org/10.2196/16790 |