The Role of Data Mining-Based Cancer Prediction system (DMBCPS) in Cancer Awareness

Priyanga, A and Prakasam, S The Role of Data Mining-Based Cancer Prediction system (DMBCPS) in Cancer Awareness. International Journal of Computer Science and Engineering Communications (IJCSEC), 2013, vol. 1, n. 1. [Journal article (Unpaginated)]

[thumbnail of PDF] Archive (PDF)
ECSA0088.pdf - Published version
Available under License Creative Commons Attribution.
Download (506kB)

English abstract

Cancer is one of the major problem today, diagnosing cancer in earlier stage is still challenging for doctors. Breast cancer is one of the major death causing diseases of the women today all over the world. Every year more than million women are diagnosed with breast cancer worldwide over half of them will die because of the late diagnosing of the disease. So many researches have undergone for detecting the cancer based on data mining technology each approach has its own limitations. This makes us to take up this problem and to implement the Data mining based cancer prediction System (DMBCPS). We have proposed this cancer prediction system based on data mining technology. This system estimates the risk of the breast cancer in the earlier stage. 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.

Item type: Journal article (Unpaginated)
Keywords: Data Mining,Cancer Prediction,DMBCPS,K-NN algorithm
Subjects: L. Information technology and library technology > LN. Data base management systems.
Depositing user: Dr BP Lakshmi
Date deposited: 21 Nov 2016 08:34
Last modified: 21 Nov 2016 08:34
URI: http://hdl.handle.net/10760/30291

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, 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 . Available: http://canceraustralia.nbocc.org.au/risk/caculator.php 110-115.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS