Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data

作者：

Highlights：

• Home telehealth data are predictors of possible exacerbation events in COPD patient.

• The developed algorithm could be used as a real-time exacerbation event detector.

摘要

•Home telehealth data are predictors of possible exacerbation events in COPD patient.•The developed algorithm could be used as a real-time exacerbation event detector.

论文关键词：Home telehealth system,Classification and regression tree,Chronic obstructive pulmonary disease (COPD)

论文评审过程：Received 17 February 2011, Revised 2 December 2014, Accepted 4 December 2014, Available online 18 December 2014.

论文官网地址：https://doi.org/10.1016/j.artmed.2014.12.003