Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals

There are currently no effective biomarkers for diagnosing Parkinson’s disease (PD) or tracking its progression. Here, we developed an artificial intelligence (AI) model to detect PD and track its progression from nocturnal breathing signals. The model was evaluated on a large dataset comprising 7,6...

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Detalles Bibliográficos
Autores principales: Yang, Yuzhe, Yuan, Yuan, Zhang, Guo, Wang, Hao, Chen, Ying-Cong, Liu, Yingcheng, Tarolli, Christopher G., Crepeau, Daniel, Bukartyk, Jan, Junna, Mithri R., Videnovic, Aleksandar, Ellis, Terry D., Lipford, Melissa C., Dorsey, Ray, Katabi, Dina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556299/
https://www.ncbi.nlm.nih.gov/pubmed/35995955
http://dx.doi.org/10.1038/s41591-022-01932-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556299/
https://www.ncbi.nlm.nih.gov/pubmed/35995955
http://dx.doi.org/10.1038/s41591-022-01932-x

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