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Harnessing the Power of Decision Tree approach in Machine Learning for Cervical Cancer Stage Prediction using See5 and SIPINA

Authors(1):

Sunny Sharma
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Around the globe Cervical cancer is the biggest reason of cancer deaths in women. It influences the cervix in the female regenerative system which prompts death. The decision tree machine learning approach helps to identify the stages of cervical cancer. Decision tree categorize the stages of the cervical cancer in hierarchical decision making system approach which guide the oncologist to take decision on stages of cervical cancer, which safes human life. The proposed methodology use the research data set obtained from http://www.igcs.org & leads the prediction towards the stages of cervical cancer using See5 and SIPINA tool.

Sunny Sharma

Cervical Cancer prediction, Machine Learning, See5, SIPINA, Decision Tree, C5

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-05-05 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
1176-1182 IJSRSET1622404   Technoscience Academy

Cite This Article

Sunny Sharma, "Harnessing the Power of Decision Tree approach in Machine Learning for Cervical Cancer Stage Prediction using See5 and SIPINA", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1176-1182, March-April-2016.
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