Comparison of Classification Algorithms in Lung Cancer Risk Factor Analysis
Abstract: Lung Cancer kills nearly 1.59 million people per year. Lung cancer is one of the most common causes of mortality in the world. Data Mining discovers new patterns from huge datasets consisting of heterogeneous and high voluminous data. Due to the knowledge mining aspect of data mining, diverse fields uses data mining techniques. Data Mining has great potential in healthcare filed. Lung cancer is one of the hilarious diseases, in which data mining techniques aids better results in early detection and prediction of lung cancer, diagnosis of lung cancer using image mining techniques and more. This paper uses
Keywords: Data Mining, Lung Cancer, Classification and Comparison
How to Cite?: V. Kirubha, S. Manju Priya, "Comparison of Classification Algorithms in Lung Cancer Risk Factor Analysis", Volume 6 Issue 2, February 2017, International Journal of Science and Research (IJSR), Pages: 1794-1797, https://www.ijsr.net/getabstract.php?paperid=ART2017925, DOI: https://dx.doi.org/10.21275/ART2017925