Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networks

Author:

Shakeel P. Mohamed,Tolba Amr,Al-Makhadmeh Zafer,Jaber Mustafa Musa

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference44 articles.

1. World Cancer Report (2014) World Health Organization, Chapter 5.1. ISBN 92-832-0429-8

2. https://www.naaccr.org/

3. Lung Cancer—Patient Version. NCI. Archived from the original on 9 March 2016. Retrieved 5 Mar 2016

4. Horn L, Lovly CM, Johnson DH (2015) Chapter 107: neoplasms of the lung. In: Kasper DL, Hauser SL, Jameson JL, Fauci AS, Longo DL, Loscalzo J (eds) Harrison’s principles of internal medicine, 19th edn. McGraw-Hill, New York. ISBN 978-0-07-180216-1

5. Alberg AJ, Brock MV, Samet JM (2016) Chapter 52: epidemiology of lung cancer. In: Murray & Nadel’s textbook of respiratory medicine, 6th edn. Saunders Elsevier, Amsterdam. ISBN 978-1-4557-3383-5

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