The week's pick
Random Articles
Reseach Article
Prediction for Common Disease using ID3 Algorithm in Mobile Phone and Television
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 50 - Number 4 |
| Year of Publication: 2012 |
| Authors: L.sathish Kumar, A.padmapriya |
10.5120/7762-0830
|
L.sathish Kumar, A.padmapriya . Prediction for Common Disease using ID3 Algorithm in Mobile Phone and Television. International Journal of Computer Applications. 50, 4 ( July 2012), 30-33. DOI=10.5120/7762-0830
Abstract
The data mining has become a unique tool in analyzing data from different perspective and converting it into useful and meaningful information. Now we have a lot of known diseases and unknown diseases around the world. The healthcare has big challenge to predict the kind of disease and the solution for that disease. In India illiteracy rate is high, so that most of the people are scared about these diseases become of thesis ignorance. Hence they may take wrong decision regarding the disease that they have been affected problem. Considering this serious issue we have used data mining as a tool to overcome this issue. We have already created the prediction for common disease [17]. And we are in the process implementing of mobile phone and television because all category people can used easily find and predicted what kind of disease through television and mobile phones.
References
- Abdelghani Bellaachia and David Portnoy, "E-CAST: A Data Mining Algorithm for Gene Expression Data", 2nd Workshop on Data Mining in Bioinformatics at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, pp. 49 – 54, July 23rd, 2002.
- Anamika Gupta, Naveen Kumar, and Vasudha Bhatnagar, "Analysis of Medical Data using Data Mining and Formal Concept Analysis", Proceedings Of World Academy Of Science,Engineering And Technology,Vol. 6, June 2005,.
- Andreeva P. , M. Dimitrova and A. Gegov, "Information Representation in Cardiological Knowledge Based System", SAER'06, pp: 23-25 Sept, 2006.
- A. Bellaachia and Erhan Guven, "Predicting Breast Cancer Survivability using Data Mining Techniques", Ninth Workshop on Mining Scientific and Engineering Datasets in conjunction with the Sixth SIAM International Conference on Data Mining (SDM 2006), Saturday, April 22, 2006
- Boleslaw Szymanski, Long Han, Mark Embrechts, Alexander Ross, Karsten Sternickel, Lijuan Zhu, "Using Efficient Supanova Kernel For Heart Disease Diagnosis", proc. ANNIE 06,intelligent engineering systems through artificial neural networks, vol. 16, pp:305-310, 2006.
- Carlos Ordonez, "Improving Heart Disease Prediction Using Constrained Association Rules,"Seminar Presentation at University of Tokyo, 2004.
- Florin Gorunescu, "Data Mining Techniques in Computer-Aided Diagnosis: Non-Invasive Cancer Detection," International Journal of Bioengineering, Biotechnology and Nanotechnology, Vol. 1, No. 2, pp. 105 - 108, 2008.
- Frank Lemke and Johann-Adolf Mueller, "Medical data analysis using self-organizing datamining technologies," Systems Analysis Modelling Simulation, Vol. 43, No. 10, pp: 1399 -1408, 2003.
- Franck Le Duff, Cristian Munteanb, Marc Cuggiaa, Philippe Mabob, "Predicting Survival Causes After Out of Hospital Cardiac Arrest using Data Mining Method", Studies in health technology and informatics, Vol. 107, No. Pt 2, pp. 1256-9, 2004.
- Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-mei Chen, "Mining time dependency patterns in clinical pathways", Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Vol. 1, pp. 8, 4-7 January 2000.
- L. Goodwin, M. VanDyne, S. Lin, S. Talbert, "Data mining issues and opportunities for building nursing knowledge" Journal of Biomedical Informatics, vol. 36, pp: 379-388, 2003.
- Heon Gyu Lee, Ki Yong Noh, Keun Ho Ryu, "Mining Biosignal Data: Coronary Artery Disease Diagnosis using Linear and Nonlinear Features of HRV," LNAI 4819: Emerging Technologies in Knowledge Discovery and Data Mining, pp. 56-66, May 2007.
- Hian Chye Koh and Gerald Tan, "Data Mining Applications in Healthcare", Journal of healthcare information management, Vol. 19, No. 2, pp. 64-72, 2005.
- Kiyong Noh, Heon Gyu Lee, Ho-Sun Shon, Bum Ju Lee, and Keun Ho Ryu, "Associative Classification Approach for Diagnosing Cardiovascular Disease", Springer, Vol:345, pp: 721- 727, 2006
- KS Leung,YT Ng, KH Lee, LY Chan, KW Tsui, Tony Mok, CH Tse, Joseph Sung, "Data Mining on DNA Sequences of Hepatitis B Virus by Nonlinear Integrals" Proceedings Taiwan-Japan Symposium on Fuzzy Systems & Innovational Computing, Japan, pp. 1-10, 18-22 Aug 2006.
- Margaret R. Kraft, Kevin C. Desouza, Ida Androwich, "Data Mining in Healthcare Information Systems: Case Study of a Veterans' Administration Spinal Cord Injury Population",Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS'03), pp. 9, 6-9 January 2003.
- L. Sathish Kumar and A. padmapriya,"ID3 Algorithm Performance of Diagnosis for common disease", Vol. 2, Issue 5, May 2012.
- Sellappan Palaniappan, Rafiah Awang, "Intelligent Heart Disease Prediction System Using Data Mining Techniques", IJCSNS International Journal of Computer Science and Network Security, Vol. 8 No. 8, August 2008
- S Stilou, P D Bamidis, N Maglaveras, C Pappas, "Mining association rules from clinical databases: an intelligent diagnostic process in healthcare", Stud Health Technol Inform 84: Pt 2. 1399-1403, 2001.
- Quinlan J. R. , INDRODUCTION OF DECISION TREES Machine learning. VOL 1986, 81-106
Index Terms
Keywords