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

Iterative Pattern Matching using K- nn and Lazy Bayesian Rule

by Rashmi Madhukar Jadhav, Roshani Ade
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 24
Year of Publication: 2015
Authors: Rashmi Madhukar Jadhav, Roshani Ade
10.5120/20699-3298

Rashmi Madhukar Jadhav, Roshani Ade . Iterative Pattern Matching using K- nn and Lazy Bayesian Rule. International Journal of Computer Applications. 117, 24 ( May 2015), 1-3. DOI=10.5120/20699-3298

@article{ 10.5120/20699-3298,
author = { Rashmi Madhukar Jadhav, Roshani Ade },
title = { Iterative Pattern Matching using K- nn and Lazy Bayesian Rule },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 24 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number24/20699-3298/ },
doi = { 10.5120/20699-3298 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:14.731958+05:30
%A Rashmi Madhukar Jadhav
%A Roshani Ade
%T Iterative Pattern Matching using K- nn and Lazy Bayesian Rule
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 24
%P 1-3
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical Data is an abundant source of information for research. Enormous quantity of data is available but is put to use in merely diagnostic procedure. Researchers are now spotlighting their interest in the medical field. This paper focuses on the misdiagnosis attribute that is often ignored but may lead to exact cause of disease and thus result in fine diagnosis in the patient.

References
  1. Ian H. Witten, Eibe Frank, Mark A. Hall, "Data Mining", Third Edition, Elsevier, 2012.
  2. Margaret H. Dunham, "Data Mining-Introductory and advanced topics", Pearson Education, 2013.
  3. Rahul Isola, Rebeck Carvalho et al. , "Automated Differential Diagnosis in Medical Systems using Neural Networks, k-NN and SOM",IEEE 2011.
  4. Hatice Catalouk and Metin KESLERA, "Diagnostic Software Tool for Skin Diseases with Basic and Weighted K-NN", IEEE 2012.
  5. Nikita V. Chavan, B. D. Jadhav et a. l, "Detection and Classification of Brain Tumors" ,International Journal of Computer Applications, Volume 112 – No. 8, February 2015.
  6. Gomathi. P et al. , "Medical Disease Diagnosis using structuring text", IJCSET, Vol. 5, No. 05, May 2014.
  7. Ayse Cufoglu, Mahi Lohi and Kambiz Madani," Classification Accuracy Performance of Naïve Bayesian (NB), Bayesian Networks (BN), Lazy Learning of Bayesian Rules (LBR) and Instance-Based Learner (IB1) – Comparative Study", IEEE.
  8. LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules, Zhipeng Xie.
  9. David A. McMurrey, Joanne Buckley, "Handbook for Technical writing", Cenage learning, 2013.
  10. Lee, I. -N. , S. -C. Liao, and M. Embrechts,"Data mining techniques applied to medical information", Med. inform, 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Misdiagnosis LBR K-nn

Powered by PhDFocusTM