Classification of the Diagnosis of Diabetes based on Mixture of Expert Model (Mixture of Expert 모형에 기반한 당뇨병 진단 분류)

Lee， Hongki (이홍기); Sungmin Myoung (명성민)

Classification of the Diagnosis of Diabetes based on Mixture of Expert Model

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2014, 19(11), pp.149~157
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Lee， Hongki ¹, Sungmin Myoung ¹

¹중원대학교

Accredited

ABSTRACT

Diabetes is a chronic disease that requires continuous medical care and patient-self managementeducation to prevent acute complications and reduce the risk of long-term complications. The worldwideprevalence and incidence of diabetes mellitus are reached epidemic proportions in most populations. Earlydetection of diabetes could help to prevent its onset by taking appropriate preventive measures andmanaging lifestyle. The major objective of this research is to develop an automated decision supportsystem for detection of diabetes using mixture of experts model. The performance of the classification algorithms was compared on the Pima Indians diabetes dataset. The result of this study demonstrated thatthe mixture of expert model achieved diagnostic accuracies were higher than the other automateddiagnostic systems.

KEYWORDS

automated diagnostic system, decision support system, diabetes diagnosis, mixture of experts

Citation status

* References for papers published after 2023 are currently being built.

[journal] Georg, P. / 2000 / Lipids and diabetes / Journal of Clinical and Basic Cardiology 3(3) : 159~162

[web] / Korean National Health and Nutrition Survey / http://knhanes.cdc.go.kr

[other] Statistics Korea / 2013 / Annual report on the cause of death statistics: 2012 / Statistics Korea

[journal] Kim, Y. / 2009 / A study on factors management of diabetes mellitus using data mining / Journal of academia-industrial technology 10(5) : 1100~1108

[journal] Diabetes Control and Complications Trial Research Group / 1995 / The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus / New England Journal of Medicine 329 : 977~986

[journal] Holman, R. / 2008 / 10-year follow-up of intensive glucose control in type 2 diabetes / New England Journal of Medicine 359(15) : 1577~1589

[journal] Sokol, M. / 2005 / Impact of medication adherence on hospitalization risk and healthcare cost / Medical Care 43(6) : 521~530

[report] Hwang, S. / 2007 / Medical diagnosis system of breast cancer using FCMbased parallel neural networks / Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence : 712~719

[book] Shortliffe, E. / 2013 / Biomedical Informatics : computer applications in health care and biomedicine / Springer-Verlag : 76~79

[journal] 김성완 / 2013 / Rhythm Classification of ECG Signal by Rule and SVM Based Algorithm / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 18(9) : 43~51

[journal] 이제영 / 2014 / Identification of major risk factors association with respiratory diseases by data mining / 한국데이터정보과학회지 / 한국데이터정보과학회 25(2) : 373~384

[journal] SunMi Lee / 2008 / Comparisons of predictive modeling techniques for breast cancer in Korean women / Healthcare Informatics Research / 대한의료정보학회 14(1) : 37~44

[journal] Übeyli, E / 2005 / A mixture of experts network structure for breast cancer diagnosis / Journal of medical systems 29 : 5569~5579

[journal] Chen, H. / 2011 / A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis / Expert systems with applications 38(9) : 11796~11803

[journal] Sakai, S. / 2007 / Accuracy in the diagnostic prediction of acute appendicitis based on the bayesian network model / Methods of information in medicine 46(6) : 723~726

[journal] Jacobs, R. / 1991 / Adaptive mixture of local experts / Neural compuation 3 : 179~187

[journal] Gutta, S. / 2000 / Mixture of experts for classification of gender, ethnic origin, and pose of human faces / Neural Networks, IEEE Transactions on 11(4) : 948~960

[journal] Lê Cao, K. / 2010 / Integrative mixture of experts to combine clinical factors and gene markers / Bioinformatics 26(9) : 1192~1198

[journal] Hu, Y. / 1997 / A patient-adaptable ECG beat classifier using a mixture of experts approach / Biomedical Engineering, IEEE Transactions on 44(9) : 891~900

[journal] Smith, J. / 1988 / Using the ADAP learning algorithm to forecast the onset of diabetes mellitus / Proc Annu Symp Comput Appl Med Care 9 : 261~265

[web] / UCI Machine Learning Repository / University of California, Center for Machine Learning and Intelligent Systems / http://archive.ics.uci.edu/ml/datasets.html

[journal] Hong, X. / 2002 / A mixture of experts network structure construction algorithm for modelling and control / Applied Intelligence 16 : 159~169

[journal] Jordan, M. / 1994 / Hierarchical mixture of experts and the EM algorithm / Neural Computation 6 : 2181~2214

[book] Lee, J. / 2011 / Data mining using R, SAS, MS-SQL / Free Academy : 172~173

[journal] Bradley, A. / 1997 / The use of the area under the ROC curve in the evaluation of machine learning algorithms / Pattern recognition 30(7) : 1145~1159

[book] Venables, W. / 2002 / Modern applied statistics with S / Springer : 245~250

[journal] Übeyli, E. / 2007 / Comparisons of different classification algorithms in clinical decision-making / Expert System 24 : 117~131

[journal] Shankaracharya, Odedra, D. / 2012 / Computational Intelligencebased diagnosis tool for the detection of prediabetes and type 2 diabetes in India / The review of diabetic studies 9(1) : 55~62

[journal] Brause, R. / 2001 / Medical analysis and diagnosis by neural networks / Lecture note in computer science 99 : 1~13

[journal] Shanker, M. / 1996 / Using neural networks to predict the onset of diabetes mellitus / Journal of chemical information and computer sciences 36 : 35~41

[journal] Lim, C. / 1997 / Application of autonomous neural network system to medical pattern classification tasks / Artificial intelligence in medicine 11(3) : 215~239

[journal] Übeyli, E. / 2006 / Combining neural network models for automated diagnostic systems / Journal of medical systems 30 : 6483~6488

[journal] 이희진 / 2012 / Probabilistic filtering for a biological knowledge discovery system with text mining and automatic / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 17(2) : 139~147

[journal] 민대기 / 2007 / Comparison of Neural Network Modeling and Logistic Regression based on Pattern Analysis of Customers using SAS E-Miner / Journal of The Korean Data Analysis Society / 한국자료분석학회 9(4) : 1861~1873

[journal] 임진수 / 2013 / Breast Cancer Classification Using Optimal Support Vector Machine / 보건정보통계학회지 / 한국보건정보통계학회 38(1) : 108~121

[journal] Subasi, A. / 2007 / EEG signal classification using wavelet feature extraction and mixture of expert model / Expert system and applications 32 : 1084~1093

[journal] Kurnik, R. / 1999 / Application of the mixtures of experts algorithm for signal processing in a noninvasive glucose monitoring system / Sensors and actuators B 60 : 19~26

[journal] Corchado, JM. / 2009 / Model of experts for decision support in the diagnosis of leukemia patients / Artificial intelligence in medicine 46 : 179~200

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65