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


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

  1. www.igcs.org/professional/Education/treatmentResources/CervicalCaDB.html.
  2. A. Satija, “Cervical cancer in India”, South Asia Centre for Chronic Disease, 2009.
  3. http://www.cancer.gov/cancertopics/pdq/treatment/cervical/Patient/page2.
  4. G. Jayalalitha and R. Uthayukumar, “Recognition of Cervical cancer based on Fractal Dimension”, International Conference on Advances in Recent Technologies in Communication and Computing, 2009.
  5. K.Jayant, R.S Rao, “Improved stage at diagnosis of Cervical cancer with increased cancer awareness in rural Indian population”, International Journal Cancer,1995, Vol.63, pp 161-163
  6. C.Todd , Rahmdwati, G.Naghdy, “Cervical Cancer Classification Using Gabor Filters”, First IEEE International Conference on Healthcare and Informatics, Imaging and Systems Biology, 2011
  7. Cevical Cancer Overview”, American Cancer Society, http://www.cancer.org/acs/groups/cid/documents/webcontent/003042-pdf.pdf.
  8. Montse Ross and Rahmadwati, “Classification Cervical Cancer Using Histology Images”, Second international Conference on Computer Engineering and Application, 2010.
  9. B. Bergeron, “Bioinformatics Computing”, pp 257-270, 2002.
  10. S.Allwin and S.Pradeep Kumar, “Classification of stages of Maligancies using Textron signature of Cervical Cyto Image”, Computational Intelligence and Computing Research (ICCIC), 2010.
  11. J. Han and M. Kamber, “Data Mining Concepts and Techniques”, Morgan Kaufmann Publishers, USA pp 279-322, 2003.
  12. C. Balleyguier et al., “Staging of uterine cervical cancer with MRI”, Journal on European Radiology, 2011
  13. I. Friedberg, “Automated Protein Function Prediction- the Genomic Challenge”, Briefings in Bioinformatics, vol 7, no.3, pp 225-242
  14. L.J. Jensen, R. Gupta, N. Blom, D. Devos, J. Tamames C. Kesmir, H. Nielsen, H.H.  Stærfeldt, K. Rapacki, C. Workman C.A.F. Andersen, S. Knudsen, A. Krogh, A.Valencia and S. Brunak , “Prediction of Human Protein Function from Post-Translational Modifications and Localization Features”,  Journal of Molecular Biology, vol. 319, issue 5,pp 1257-1265, 2002.
  15. MS Sharma,” A Review towards Evolutionary Multiobjective optimization Algorithms”, An International Journal of Engineering Sciences, Vol13/37-Vol13, Vol. 3, Issue December 2014.
  16. M. Singh, G. Singh, S. Sharma,” Human Protein Function Prediction from Sequence Derived Features using See5 ”, International Journal of Scientific & Engineering Research Volume 3, Issue 7, July-2012
  17. http://eric.univ-lyon2.fr/~ricco/sipina.html
  18. H. Wei-Feng, G. Na, Y. Yan, L. Ji-Yang, Y. Ji-Hong, “Decision Trees Com-bined with Feature Selection for the Rational Synthesis of Aluminophos-phate AlPO4-5”, National Natural Science Foundation of China, vol 27, no.9, pp 2111-2117, 2011.
  19. I. Friedberg, “Automated Protein Function Prediction- the Genomic Chal-lenge”, Briefings in Bioinformatics, vol 7, no.3, pp 225-242
  20. http://rulequest.com/see5-info.html

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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