Manuscript Number : IJSRSET1622404
Harnessing the Power of Decision Tree approach in Machine Learning for Cervical Cancer Stage Prediction using See5 and SIPINA
Authors(1) :-Sunny Sharma
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
Publication Details
Published in :
Volume 2 | Issue 2 | March-April 2016 Article Preview
Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, India
Date of Publication :
2017-12-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
1176-1182
Manuscript Number :
IJSRSET1622404
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET1622404