Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review-Reference-Cited by-同舟云学术

Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

Published:2022-09-28 Issue:2 Volume:30 Page:831-864
ISSN:1134-3060
Container-title:Archives of Computational Methods in Engineering
language:en
Short-container-title:Arch Computat Methods Eng

Author:

Koul Apeksha,Bawa Rajesh K.^ORCID,Kumar Yogesh

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11831-022-09818-4.pdf

Reference155 articles.

1. Koul A, Bawa RK, Kumar Y (2022) Artificial intelligence in medical image processing for airway diseases. In: Connected e-Health (pp 217–254). Springer, Cham. https://doi.org/10.1007/978-3-030-97929-4_10

2. Li X, Cao X, Guo M, Xie M, Liu X (2020) Trends and risk factors of mortality and disability adjusted life years for chronic respiratory diseases from 1990 to 2017: systematic analysis for the Global Burden of Disease Study 2017. BMJ 368:10. https://doi.org/10.1136/bmj.m234

3. Leitão Filho FS, Hang Chen H, Ngan DA, Tam A, Kirby M, Sin DD (2016) Current methods to diagnose small airway disease in patients with COPD. Expert Rev Respir Med 10(4):417–429. https://doi.org/10.1586/17476348.2016.1155455

4. CF Foundation Estimates Increase in CF Population (2022) Cystic Fibrosis Foundation. https://www.cff.org/news/2022-07/cf-foundation-estimates-increase-cf-population

5. Chakaya J, Khan M, Ntoumi F, Aklillu E, Fatima R, Mwaba P, Zumla A (2021) Global tuberculosis report 2020: reflections on the global TB burden, treatment and prevention efforts. Int J Infect Dis 113:S7–S12. https://doi.org/10.1016/j.ijid.2021.02.107

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