Machine Learning-based Characterization of COPD Progression from Spirometry Data-Reference-Cited by-同舟云学术

Machine Learning-based Characterization of COPD Progression from Spirometry Data

Published:2023-12-01 Issue: Volume:3 Page:1873-1878
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Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Varshney Neeraj¹,Bordoloi Dibyhash²,Michaelson Jacob³,Laxminarayanamma K⁴,Yadav Vijay Kumar⁵,Srivastava Amit⁶

Affiliation:

1. GLA University,Department of Computer Engineering and Applications,Mathura

2. Computer Science & Engineering, Graphic Era Deemed to be University,Dehradun,Uttarakhand

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,India

4. Institute of Aeronautical Engineering,Department of Information Technology,Hyderabad,Telangana

5. Lloyd Institute of Engineering & Technology,Greater Noida

6. Lloyd Law College,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434908.pdf?arnumber=10434908

Reference41 articles.

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2. Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease

3. Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography

4. Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality

5. Comparative Analysis of Advanced Machine Learning Based Techniques to Identify the Lung Cancer: A Review