A Predictive Machine Learning Tool for Asthma Exacerbations: Results from a 12-Week, Open-Label Study Using an Electronic Multi-Dose Dry Powder Inhaler with Integrated Sensors

PURPOSE: Machine learning models informed by sensor data inputs have the potential to provide individualized predictions of asthma deterioration. This study aimed to determine if data from an integrated digital inhaler could be used to develop a machine learning model capable of predicting impending...

Descripción completa

Detalles Bibliográficos
Autores principales: Lugogo, Njira L, DePietro, Michael, Reich, Michael, Merchant, Rajan, Chrystyn, Henry, Pleasants, Roy, Granovsky, Lena, Li, Thomas, Hill, Tanisha, Brown, Randall W, Safioti, Guilherme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664923/
https://www.ncbi.nlm.nih.gov/pubmed/36387836
http://dx.doi.org/10.2147/JAA.S377631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664923/
https://www.ncbi.nlm.nih.gov/pubmed/36387836
http://dx.doi.org/10.2147/JAA.S377631

Ejemplares similares