Proceeding of

NCAICN National Conference 2013

(NCAICN-2013)

on

Advances in

Computing & Networking

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

Patron

Hon. Shri Sundeepji Meghe

(Chairman, Vidarbha Youth Welfare Society, Amravati)

 

Advisor

Dr. V.T. Ingole (FIE, FIETE, Professor Emeritus)

 

Organizing Committee

Chairman

Dr. D.T. Ingole (FIE, FIETE)

(Principal PRMIT & R, Badnera and  Chairman IEI  Amravati Center).

Secretary

 Er. A.W. Jawanjal

(Honorary Secretary IEI, Amravati Center)

Conveners

Dr. G.R. Bamnote ((FIE, FIETE)

(H.O.D. Computer Science & Engineering)

Dr. A.S. Alvi (MIE)

(H.O.D. Information Technology))

Prof. Mrs. M.D. Ingole (FIE.MIETE)

(H.O.D. Electronics & Telecommunication)

Coordinators

Prof. S.V. Dhopte ((FIE, FIETE)

Prof. Ms. V.M. Deshmukh (FIE, FIETE)

Dr. S.W. Mohod  (FIE,FIETE)

Co-Coordinators

Dr. S.R. Gupta (MIE, MIETE)

Prof. S.V. Pattalwar ((FIE, FIETE)

Prof. M.D. Damahe

Members

Prof. Mrs. M.S. Joshi                

Dr. S.M. Deshmukh

Prof. V.U. Kale

Prof. S.S. Kulkarni

Prof. Ms. R.R. Tuteja

Prof. Ms. J.N. Ingole

Prof. V.R. Raut

Prof. C.N. Deshmukh

Prof. Ms. M.S. Deshmukh

Prof. S.P. Akarte

Prof. Mrs. A.P. Deshmukh

Prof. Mrs. S.S. Sikchi

Prof. N.N. Khalsa

Department of Information and Computer Science and Engineering

Prof. Ram Meghe Institute of Technology and Research, Badnera Distt. Amravati

 

Editor

Prof. K. H. Walse

M.S.India
 

 

 

   
   
   
   
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
 
  
  
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

Spirometry Data Analysis and Classification Using Data Mining: An Approach

Author:
 K. A. Waghmare, Dr. G.R. Bamnote, Dr. P. N. Chatur and M.B.Waghmare
 
Abstract

In this paper, the acquisition of Spirometry data such as Forced Expiratory Volume in 1 second (FEV1), Force Vital Capacity (FVC) and Small Vital Capacity will be carried out using Spirometer. At current, numbers of lung diseases are main hazard to the human health due to air pollution, smoking and other infections. The various Artificial Neural Network methods for the taxonomy of Spirometry data are Back Propagation Network (BPN), Radial Basis Function (RBF) and Multilayer Perceptron Neural Network (MLPNN). The aim of the present study is to acquire parameter such as FVC, FEV1 and SVC data and use Data Mining Algorithm for classification of the Spirometer data into Normal, Obstructive and Restrictive dataset. This approach is used to increase the efficiency of classification

©2013 International Journal of Computer Science and Applications 

Published by Research Publications, India