We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Effectiveness of Data Mining - based Cancer Prediction system (DMBCPS)

by A. Priyanga, S. Prakasam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 10
Year of Publication: 2013
Authors: A. Priyanga, S. Prakasam
10.5120/14483-2791

A. Priyanga, S. Prakasam . Effectiveness of Data Mining - based Cancer Prediction system (DMBCPS). International Journal of Computer Applications. 83, 10 ( December 2013), 11-17. DOI=10.5120/14483-2791

@article{ 10.5120/14483-2791,
author = { A. Priyanga, S. Prakasam },
title = { Effectiveness of Data Mining - based Cancer Prediction system (DMBCPS) },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 10 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number10/14483-2791/ },
doi = { 10.5120/14483-2791 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:00.770324+05:30
%A A. Priyanga
%A S. Prakasam
%T Effectiveness of Data Mining - based Cancer Prediction system (DMBCPS)
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 10
%P 11-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cancer is one of the deadly diseases in the world today. Cancer is caused because of some genetic factors and/or environmental factors and/or today's modern lifestyle. Cancer has become the primary reason of death in developed countries. The most effective way to reduce cancer death is to detect it earlier. The earlier detection of cancer is not easier process but if it is detected, it is curable. Many works have been done in predicting cancer; different data mining approaches and algorithms were adopted by different people. Each work has some limitations such as lack of intelligent prediction, and inefficient in structure that motivated to take up this problem and to implement the Data mining based cancer prediction System (DMBCPS). We have proposed the cancer prediction system based on data mining. This system estimates the risk of the breast, skin, and lung cancers. This system is validated by comparing its predicted results with patient's prior medical information and it was analyzed by using weka system. The main aim of this model is to provide the earlier warning to the users, and it is also cost efficient to the user.

References
  1. N. Revathy, Dr. R. Amalraj(2011) Accurate Cancer Classification using Expression of Very few Genes. International Journal of Computer Application Volume 14 – No. 4.
  2. Tasnuba Jesmin, Kaswar Ahmed, Md. Badrul Alam Miah (2013) Brain Cancer Risk Prediction System Using Data mining. International Journal of Computer Applications,Volume 61- No.
  3. Seyyid Ahmed Medjahed, Tamazouzt Ait Saadi, Abdelkader Benyettou (2013) Breast Cancer Diagnosis using K-Nearest Neibhor with Different Distances And Classification Rules. International Journal of Computer Applications, Volume 62- N0. 1.
  4. Wafa Mokharrak, Nedhal Al Khalaf, Tom altman Application of Bioinformatics and Data mining in Cancer Prediction.
  5. Kawasar Ahmed, Tanuba Jesmin, Md. Zamilur Rahman (2013)Early Prevention and Detection of Skin Cancer using Data mining. International Journal of Computer Application, Volume 62-No. 4.
  6. Abdelghani Bellachia, Erhan Guven Predicting Breast Cancer Survivablity Using Data mining Techniques.
  7. S. Jothi, S. Anitha (2012) Data mining Classification Techniques Applied Fo Cancer Disease – A case Study Using Xlminer. International Journal of Engineering Research & Technolgy, Vol 1 Issue 8.
  8. V. Kroshnaiah, Dr. G. Narsimha, Dr. N. Subhash Chandra (2013) Diagnosis of Lung Cancer Prediction System Using Data mining Classification Techniques International Journal Of Computer Science And Information Technologies, Vol 4(1), 39-45.
  9. Ada Ranjneet Kaur (2013) A Study of Lung Cancer Using Data mining Classification Techniques. International Journal of Advanced Research in Computer Science and Software Engineering, Vol 3, Issue 3.
  10. K. Rama Lakshmi and S. Prem Kumar (2013) Utilization of Data mining Techniques for Prediction and Diagnosis of Major Life Threatening Diseases Survivability- Review International Journal of Scientific & Engineering Research, Vol 4, Issue 6.
  11. Juliet R. Rajan, Jefrin J Prakash Early Diagnosis of Lung Cancer using a Mining System IJETTCS.
  12. E. Barati, M. Saraee, A. Mohammadi, N. Adibi and M. R. Ahamadzadeh (2011) A Survwy on Utilization of Data mining Approaches for Dermatological (Skin) Diseases Prediction Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Health Informatics.
  13. Charalampos Mavroforakis Data mining with WEKA a use-case to help you gets started.
  14. Jiawei Han and Micheline Kamber Data mining Concepts and Techniques,Second Edition.
  15. Calculate your risk. Australian Government [Oneline]. Available: http://canceraustralia. nbocc. org. au/risk/caculator. php 110-115.
Index Terms

Computer Science
Information Sciences

Keywords

Breast cancer Lung Cancer Skin Cancer J48 Id3 Navie bayes