Paper Info
Title
New Data Pre-processing on Assessing of Obstructive Sleep Apnea Syndrome: Line Based Normalization Method (LBNM)
Abstract
Sleep disorders are a very common unawareness illness among public. Obstructive Sleep Apnea Syndrome (OSAS) is characterized with decreased oxygen saturation level and repetitive upper respiratory tract obstruction episodes during full night sleep. In the present study, we have proposed a novel data normalization method called Line Based Normalization Method (LBNM) to evaluate OSAS using real data set obtained from Polysomnography device as a diagnostic tool in patients and clinically suspected of suffering OSAS. Here, we have combined the LBNM and classification methods comprising C4.5 decision tree classifier and Artificial Neural Network (ANN) to diagnose the OSAS. Firstly, each clinical feature in OSAS dataset is scaled by LBNM method in the range of [0,I]. Secondly, normalized OSAS dataset is classified using different classifier algorithms including C4.5 decision tree classifier and ANN, respectively. The proposed normalization method was compared with min-max normalization, z-score normalization, and decimal scaling methods existing in literature on the diagnosis of OSAS. LBNM has produced very promising results on the assessing of OSAS. Also, this method could be applied to other biomedical datasets.
Year
DOI
Venue
2008
10.1007/978-3-540-85930-7_25
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES
Keywords
Field
DocType
Obstructive Sleep Apnea Syndrome,Data Scaling,Line Based Normalization Method,C4.5 Decision Tree Classifier,Levenberg Marquart Artificial Neural Network
Obstructive sleep apnea,Normalization (statistics),Pattern recognition,Computer science,Data pre-processing,Artificial intelligence,Classifier (linguistics),Artificial neural network,Machine learning,Decision tree learning,Database normalization,Polysomnography
Conference
Volume
ISSN
Citations 
15
1865-0929
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Bayram Akdemir1376.32
Salih Güneş2126778.53
Sebnem Yosunkaya300.34