[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2582-8746 Since 2020
  1. Home
  2. Archives
  3. 2022
  4. Vol. 3 Issue 3
  5. Article
Research Article

Cervical Cancer Prediction using Outlier deduction and Over sampling methods

  • Paper ID 393
  • Volume 3, Issue 3
  • Pages 186-190
  • Published Online: May-June 2022
  • 1 Views
Open Access Peer Reviewed

Authors

  • K.Gowri1
  • M.Saranya2

1Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India. 2Assistant professor, Department of Computer Science, Sri Kaliswari College (Autonomous), Tamilnadu, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
186-190
Article Type
Research Article
Check for updates
No DOI available for cross-reference

References

[1] Riham Alsmariy, Graham Healy, Hoda Abdelhafez,” Predicting Cervical Cancer using Machine Learning Methods”, (IJACSA)
International Journal of Advanced Computer Science and Applications, Vol. 11, No. 7, 2020
[2 Muhammed Fahri Unlersen1, Kadir Sabanci2, Muciz Özcan1, “Determining Cervical Cancer Possibility by Using Machine Learning
Methods”, International Journal of Latest Research in Engineering and Technology (IJLRET) ISSN: 2454-5031, Volume 03 - Issue 12 ,
December 2017
[3] A.Priyanga, S.Prakasam, Ph.D, “Effectiveness of Data Mining - based Cancer Prediction System (DMBCPS)”, International Journal of
Computer Applications (0975 – 8887) Volume 83 – No 10, December 2013
[4] Y. M. S. Al-Wesabi, Avishek Choudhury, Daehan Won, ”Classification of Cervical Cancer Dataset”, Proceedings of the 2018 IISE Annual Conference K. Barker, D. Berry, C. Rainwater, eds.
[5] Arif-Ul-Islam, Shamim H. Ripon, Nuruddin Qaisar Bhuiyan,” Cervical cancer risk factors: classification and mining associations”,
APTIKOM Journal on Computer Science and Information Technologies, Vol. 4, No. 1, 2019, pp. 8~18 ISSN: 2528-2417,DOI: 10.11591/APTIKOM.J.CSIT.131
[6] R.Vidya,G.M.Nasira,” A Pioneering Cervical Cancer Prediction Prototype in Medical Data Mining using Clustering Pattern”,
International Journal of Data Mining Techniques and Applications, Volume: 04 Issue: 02 December 2015 Page No.63-66, ISSN: 2278-2419
[7] Zeynep CEYLAN1, Ebru PEKEL, “Comparison of Multi-Label Classification Methods for Prediagnosis of Cervical Cancer”, International Journal of Intelligent Systems and Applications in Engineering Advanced Technology and Science ISSN:2147-67992147.
APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2582-8746
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper