Cargando…
Intelligent risk prediction in public health using wearable device data
The importance of infection risk prediction as a key public health measure has only been underscored by the COVID-19 pandemic. In a recent study, researchers use machine learning to develop an algorithm that predicts the risk of COVID-19 infection, by combining biometric data from wearable devices l...
Autores principales: | Raza, Marium M., Venkatesh, Kaushik P., Kvedar, Joseph C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556285/ https://www.ncbi.nlm.nih.gov/pubmed/36229593 http://dx.doi.org/10.1038/s41746-022-00701-x |
Ejemplares similares
-
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation
por: Venkatesh, Kaushik P., et al.
Publicado: (2022) -
Promoting racial equity in digital health: applying a cross-disciplinary equity framework
por: Raza, Marium M., et al.
Publicado: (2023) -
AI-based skin cancer detection: the balance between access and overutilization
por: Venkatesh, Kaushik P., et al.
Publicado: (2023) -
Has increased telehealth access during COVID-19 led to over-utilization of primary care?
por: Venkatesh, Kaushik P., et al.
Publicado: (2022) -
Multinational landscape of health app policy: toward regulatory consensus on digital health
por: Diao, James A., et al.
Publicado: (2022)