A Data Analysis Pipeline to Explore Demographic Information for Identifying COPD Patients-Reference-Cited by-同舟云学术

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A Data Analysis Pipeline to Explore Demographic Information for Identifying COPD Patients

Published:2022 Issue: Volume: Page:375-385
ISSN:1876-1100
Container-title:Proceedings of Third International Conference on Communication, Computing and Electronics Systems
language:
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Author:

Jyothi B.,Koundinya V. S. S. Harika,Khan Israr Ahmed,Sravan Narapongu

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8862-1_24

Reference14 articles.

1. Barnes PJ (2000) Mechanisms in COPD: differences from asthma. J Chest 117(2):10S-14S

2. Mathers CD, Loncar D (2006) Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3(11):e442

3. Csikesz NG, Gartman EJ (2014) New developments in the assessment of COPD: early diagnosis is key. Int J Chronic Obstructive Pulm Dis 9:277–286

4. Dong T, Santos S, Yang Z, Yang S, Kirkhus NE (2020) Sputum and salivary protein biomarkers and point-of-care biosensors for the management of COPD. Analyst 145(5):1583–1604

5. Mirza S, Clay RD, Koslow MA, Scanlon PD (2018) COPD guidelines: a review of the 2018 GOLD report. Mayo Clinic Proc 93(10):1488–1502

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