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
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

An Efficient Algorithm for Disease Prediction with Multi Dimensional Data

by Smitha. T, V. Sundaram
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 9
Year of Publication: 2013
Authors: Smitha. T, V. Sundaram
10.5120/10491-5247

Smitha. T, V. Sundaram . An Efficient Algorithm for Disease Prediction with Multi Dimensional Data. International Journal of Computer Applications. 63, 9 ( February 2013), 1-4. DOI=10.5120/10491-5247

@article{ 10.5120/10491-5247,
author = { Smitha. T, V. Sundaram },
title = { An Efficient Algorithm for Disease Prediction with Multi Dimensional Data },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 9 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number9/10491-5247/ },
doi = { 10.5120/10491-5247 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:50.915567+05:30
%A Smitha. T
%A V. Sundaram
%T An Efficient Algorithm for Disease Prediction with Multi Dimensional Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 9
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this study is to create a fast, easy and an efficient algorithm for disease prediction , with less error rate and can apply with even large data sets and show reasonable patterns with dependent variables. For disease identification and prediction in data mining a new hybrid algorithm was constructed. The Disease Identification and Prediction(DIP) algorithm, which is the combination of decision tree and association rule is used to predict the chances of some of the disease hits in some particular areas. It also shows the relationship between different parameters for the prediction. To implement this algorithm using vb. net software was also developed.

References
  1. Arijay Chaudhry and Dr. P. S. Deshpande. Multidimensional Data Analysis and data mining, Black Book
  2. Smitha. T ,Dr. V. Sundaram"Case study on High Dimensional Data Analysis using Decision Tree model", , International journal of computer science issues Vol9,Issue 3, May 2012.
  3. Smitha. T,Dr. V. Sundaram"Classification Rules By Decision Tree for disease Prediction", ,International journal of Computer Applications vol-43, No-8, April 2012.
  4. "Smitha. T, Dr. V. Sundaram" Knowledge Discovery from Real Time Database using Data Mining Technique, IJSRP vol 2, issue 4, April 2012.
  5. Moawia Elfaki Yahia1, Murtada El-mukashfi El-taher2 "A New Approach for Evaluation of Data Mining Techniques", ,IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010.
  6. V. Umarani "A study on effective mining of association rules from huge database" al. / IJCSR International Journal of Computer Science and Research, Vol. 1 Issue 1, 2010.
  7. Shalini S Singh " K-means v/s K-medoids: A Comparative Study", National Conference on Recent Trends in Engineering & Technology, May 2011.
  8. C. MÁRQUEZ-VERA" Predicting School Failure Using Data Mining" IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010
  9. Smitha. T, Dr. V. Sundaram "Comparative study of data mining algorithm for high dimensional data analysis" International journal of advances in Engineering & Technology, Vol 4, issue 2, ISSN. 2231-1963, Sept-12, pp. 173-178.
  10. G. SenthilKumar "online message categorization using Apriori algorithm" International Journal of Computer Trends and Technology- May to June Issue 2011.
  11. Behrouz Minaei-Bidgoli, Elham "A New Approach of Using Association Rule Mining in Customer Complaint Management" IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010
  12. K. Srinivas et al. "Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks" / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010
  13. Sunita Soni, Jyoti Soni, Ujma Ansari "Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction" International Journal of Computer Applications (0975 – 8887) Volume 17– No. 8.
  14. Shelly Gupta et al. "DATA MINING CLASSIFICATION TECHNIQUES APPLIED FOR BREAST CANCER DIAGNOSIS AND PROGNOSIS " Indian Journal of Computer Science and Engineering (IJCSE) March 2011.
Index Terms

Computer Science
Information Sciences

Keywords

association rule clustering decision tree multidimensional data

Powered by PhDFocusTM