title: Correlated gamma-based hidden Markov model for the smart asthma management based on rescue inhaler usage.
abstract: Asthma is a very common chronic disease that affects a large portion of population in many nations. Driven by the fast development in sensor and mobile communication technology, a smart asthma management system has become available to continuously monitor the key health indicators of asthma patients. Such data provides opportunities for healthcare practitioners to examine patients not only in the clinic (on-site) but also outside of the clinic (off-site) in their daily life. In this paper, taking advantage from this data availability, we propose a correlated gamma-based hidden Markov model framework, which can reveal and highlight useful information from the rescue inhaler-usage profiles of individual patients for practitioners. The proposed method can provide diagnostic information about the asthma control status of individual patients and can help practitioners to make more informed therapeutic decisions accordingly. The proposed method is validated through both numerical study and case study based on real world data. Copyright © 2017 John Wiley & Sons, Ltd.
authors.affiliation: Alfred Lerner College of Business and Economics, University of Delaware, Newark, Delaware, 19716, U.S.A.
authors.forename: Junbo
authors.initials: J
authors.lastname: Son
authors.affiliation: National Library of Medicine, National Institute of Health, Bethesda, Maryland, 20894, U.S.A.
authors.forename: Patricia Flatley
authors.initials: PF
authors.lastname: Brennan
authors.affiliation: Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin, 53706, U.S.A.
authors.forename: Shiyu
authors.initials: S
authors.lastname: Zhou
mesh_terms: D000280:Administration, Inhalation; D018927:Anti-Asthmatic Agents / Q000008:administration & dosage; D001249:Asthma / Q000188:drug therapy* / Q000503:physiopathology; D056808:Biostatistics; D003198:Computer Simulation; D019468:Disease Management; D006801:Humans; D016013:Likelihood Functions; D008390:Markov Chains; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000379:methods / Q000706:statistics & numerical data; D009330:Nebulizers and Vaporizers / Q000706:statistics & numerical data; D012044:Regression Analysis; D058998:Remote Sensing Technology / Q000379:methods / Q000706:statistics & numerical data; D000068997:Smartphone
chemical_list: D018927:Anti-Asthmatic Agents
keywords: hidden Markov model; remote patient monitoring; smart asthma management