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Thulasiraman, Vidyaa
- Risk Prediction System using Data Mining Techniques in Gynecological Ovarian Cancer
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Authors
Affiliations
1 Department of Computer Science, Government Arts and Science College for Women, Bargur, IN
2 Department of Computer Science, Auxilium College, IN
1 Department of Computer Science, Government Arts and Science College for Women, Bargur, IN
2 Department of Computer Science, Auxilium College, IN
Source
ICTACT Journal on Soft Computing, Vol 9, No 4 (2019), Pagination: 1993-1998Abstract
Cancer is one of the leading causes of death worldwide. Early detection and prevention of cancer plays a very important role in reducing deaths caused by cancer. Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to detect at initial stage due to which it remains as one of the leading causes of cancer death. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. This research uses data mining technology such as classification, clustering and prediction to identify potential cancer patients. Therefore a cancer risk prediction system is here proposed which is easy, cost effective and time saving.Keywords
Ovarian Cancer, Multi-Layer Perceptron Classifier, Detection.
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