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 - Lugogo, Njira L; DePietro, Michael; Reich, Michael; Merchant, Rajan; Chrystyn, Henry; Pleasants, Roy; Granovsky, Lena; Li, Thomas; Hill, Tanisha; Brown, Randall W; Safioti, Guilherme (Journal of asthma and allergy, 2022)
Keywords: Algorithms; Asthma; Decision trees; digital inhalers; FDA approval; Inhalation; Inhalers; Intervention; Learning algorithms; Machine learning; Original Research; Patients; personalized medicine; Pharmaceutical industry; Precision medicine; predictive modeling; Respiration; Respiratory agents; Respiratory diseases; Sensors; Steroids; France; United Kingdom; Israel; United States--US