Contemplation of Computational Methods and Techniques to Predict COPD

Author:

Koppad Shaila H.,Kumar S. Anupama,Mohan Rao K. N.

Publisher

Springer International Publishing

Reference25 articles.

1. WorldHealthOrganization. http://www.WorldHealthOrganization.int/respiratory/copd/burden/en

2. Eisner, M.D., Anthonisen, N., Coultas, D., Kuenzli, N., Perez-Padilla, R., Postma, D., Romieu, I., Silverman, E.K., Balmes, J.R.: An official American Thoracic Society public policy statement: novel risk factors and the global burden of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 182(5), 693–718 (2010)

3. WorldHealthOrganization. http://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death , 24 May 2018

4. The Global burden of Disease, WHO October 2008. www.who.int/healthinfo/global_burden_disease/projections/en/index.html . Accessed 22 Dec 2011

5. Koppad, S., Kumar, S.A.: Investigating COPD using big data analytics. In: International Conference on Advanced Computing and Communication Systems, ICACCS-2017, Coimbatore, Indıa, 06–07 Jan 2017, pp 1984–1987. IEEE (2017). ISBN: No . 978-1-5090-4558-7

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