Cargando…
Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review
BACKGROUND: Asthma is a variable long-term condition. Currently, there is no cure for asthma and the focus is, therefore, on long-term management. Mobile health (mHealth) is promising for chronic disease management but to be able to realize its potential, it needs to go beyond simply monitoring. mHe...
Autores principales: | Tsang, Kevin C H, Pinnock, Hilary, Wilson, Andrew M, Shah, Syed Ahmar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250768/ https://www.ncbi.nlm.nih.gov/pubmed/35791395 http://dx.doi.org/10.2147/JAA.S285742 |
Ejemplares similares
-
Home monitoring with connected mobile devices for asthma attack prediction with machine learning
por: Tsang, Kevin C. H., et al.
Publicado: (2023) -
Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol
por: Tsang, Kevin Cheuk Him, et al.
Publicado: (2022) -
Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort
por: Hussain, Zain, et al.
Publicado: (2020) -
Supported self-management for asthma
por: Pinnock, Hilary
Publicado: (2015) -
mHealth intervention to support asthma self-management in adolescents: the ADAPT study
por: Kosse, Richelle C, et al.
Publicado: (2017)