Data Mining Techniques to Predict Cancer Diseases

Authors(1) :-Mohd Thousif Ahemad

Cancer is one of the most common diseases in the world that results in majority of death. The most important thing in medical field is early diagnosis of any disease which helps to cure it in early stage and increase the life expectancy chances. Cancer is one of such disease where early diagnosis can reduce the death rate in cancer patients. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. Therefore a novel multi layered method combining clustering and decision tree techniques to build a cancer risk prediction system is proposed. This research uses data mining technology such as classification, clustering and prediction to identify potential cancer patients. This research helps in detection of a person’s predisposition for cancer before going for clinical and lab tests which is cost and time consuming.

Authors and Affiliations

Mohd Thousif Ahemad
TSKC Faculty Nagarjuna Govt. College(A) Nalgonda, Telangana, India

Diagnosis, Prediction, Data Mining, Clustering

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1315-1318
Manuscript Number : CSEIT1831293
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mohd Thousif Ahemad, "Data Mining Techniques to Predict Cancer Diseases", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1315-1318, January-February-2018. |          | BibTeX | RIS | CSV

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