Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Risk Prediction System using Data Mining Techniques in Gynecological Ovarian Cancer


Affiliations
1 Department of Computer Science, Government Arts and Science College for Women, Bargur, India
2 Department of Computer Science, Auxilium College, India
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Risk Prediction System using Data Mining Techniques in Gynecological Ovarian Cancer

Abstract Views: 813  |  PDF Views: 0

Authors

Vidyaa Thulasiraman
Department of Computer Science, Government Arts and Science College for Women, Bargur, India
S. Kavitha
Department of Computer Science, Auxilium College, India

Abstract


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.

References