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Correlatedgamma‐based hiddenMarkov model for thesmart asthmamanagement based onrescue inhaler usage Junbo SonPatrícia Flatley BrennanShiyu Zhou2017 год

Correlated gamma‐based hidden Markov model for the smart asthma management based on rescue inhaler usage
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Аннотация: 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.
Год издания: 2017
Авторы: Junbo Son, Patrícia Flatley Brennan, Shiyu Zhou
Издательство: Wiley
Источник: Statistics in Medicine
Ключевые слова: Air Quality Monitoring and Forecasting, Inhalation and Respiratory Drug Delivery
Другие ссылки: Statistics in Medicine (PDF)
Statistics in Medicine (HTML)
PubMed (HTML)