Feature Extraction with Using S Transform for Classification of Chronic Obstructive Pulmonary Disease
Author:
Affiliation:
1. Science & Research Branch, Islamic Azad University,Medical Sciences & Technologies Faculty,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10052788/10052797/10052869.pdf?arnumber=10052869
Reference26 articles.
1. Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data
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3. Daily Step Count Predicts Acute Exacerbations in a US Cohort with COPD
4. A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial
5. Predicting phenotypes of asthma and eczema with machine learning
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