Digital Omicron detection using unscripted voice samples from social media

The success of artificial intelligence in clinical environments relies upon the diversity and availability of training data. In some cases, social media data may be used to counterbalance the limited amount of accessible, well-curated clinical data, but this possibility remains largely unexplored. I...

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Detalles Bibliográficos
Autores principales: Anibal, James T., Landa, Adam J., Nguyen, Hang T., Peltekian, Alec K., Shin, Andrew D., Song, Miranda J., Christou, Anna S., Hazen, Lindsey A., Rivera, Jocelyne, Morhard, Robert A., Bagci, Ulas, Li, Ming, Clifton, David A., Wood, Bradford J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516853/
https://www.ncbi.nlm.nih.gov/pubmed/36172131
http://dx.doi.org/10.1101/2022.09.13.22279673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516853/
https://www.ncbi.nlm.nih.gov/pubmed/36172131
http://dx.doi.org/10.1101/2022.09.13.22279673

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