CANCER DIAGNOSIS USING DATA MINING TECHNOLOGY

Cancer is a set of diseases in which some cells of the body grow abnormally. These cells then destroy other surrounding cells and their normal functions. Cancer can spread throughout the human body. Since it is a very treacherous disease its diagnosis is very important. In some forms it spreads within days. So the diagnosis of cancer at early stages is very important. The challenge is to first diagnose the main type and then its subtypes. This research uses data mining classification tools to make a decision support system to identify different types of cancer on the Genes dataset. Data mining technology helps in classifying cancer patients and this technique helps to identify potential cancer patients by simply analyzing the data. (Muhammad Shahbazl, Shoaib Faruq, Muhammad Shaheen, Syed Ather Masood. Cancer Diagnosis Using Data Mining Technology. Life Science Journal. 2012;9(1):308-313) (ISSN:1097-8135). http://www.lifesciencesite.com. 44m

[1]  Ian Witten,et al.  Data Mining , 2000 .

[2]  S. Dudoit,et al.  STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS , 2002 .

[3]  Paul Gray,et al.  Introduction to Data Mining and Knowledge Discovery , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[4]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[5]  Wu Tie-jun.  Support vector machines for pattern recognition , 2003 .

[6]  Will Dunham,et al.  Report sees 7.6 million global 2007 cancer deaths , 2000 .

[7]  Heikki Mannila,et al.  Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.