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.
Njira L LugogoMichael DePietroMichael ReichRajan MerchantHenry ChrystynRoy PleasantsLena GranovskyThomas LiTanisha HillRandall W BrownGuilherme SafiotiPublished in: Journal of asthma and allergy (2022)
A machine learning model to predict impending asthma exacerbations using data from the eMDPI was successfully developed. This approach may support a shift from reactive care to proactive, preventative, and personalized management of chronic respiratory diseases.
Keyphrases
- chronic obstructive pulmonary disease
- machine learning
- lung function
- big data
- open label
- cystic fibrosis
- artificial intelligence
- healthcare
- clinical trial
- palliative care
- deep learning
- electronic health record
- allergic rhinitis
- quality improvement
- randomized controlled trial
- squamous cell carcinoma
- phase ii
- phase ii study
- study protocol
- pain management
- phase iii
- low cost
- health insurance
- affordable care act