Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System

@article{Shah2017ExacerbationsIC,
  title={Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System},
  author={Syed Ahmar Shah and Carmelo Velardo and Andrew J Farmer and Lionel Tarassenko},
  journal={Journal of Medical Internet Research},
  year={2017},
  volume={19}
}
Background Chronic obstructive pulmonary disease (COPD) is a progressive, chronic respiratory disease with a significant socioeconomic burden. Exacerbations, the sudden and sustained worsening of symptoms, can lead to hospitalization and reduce quality of life. Major limitations of previous telemonitoring interventions for COPD include low compliance, lack of consensus on what constitutes an exacerbation, limited numbers of patients, and short monitoring periods. We developed a telemonitoring… 

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