A case-based classifier for hypertension detection

Knowledge-Based Systems

Volumn 24, Issue 1, 2011, Pages 33-39

  Hsu, Kuang Hung ^a   Chiu, Chaochang ^b   Chiu, Nan Hsing ^c   Lee, Po Chi ^b   Chiu, Wen Ko ^a   Liu, Thu Hua ^a   Hwang, Chorng Jer ^a  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b YUAN ZE UNIVERSITY   (Taiwan)

^c CHING YUN UNIVERSITY   (Taiwan)

Author keywords

Anthropometric data; Case based reasoning; Decision support systems; Genetic algorithms; Hypertension detection

Indexed keywords

3D-SCANNING; ANTHROPOMETRIC DATA; BODY SURFACE; CASE MATCHING; CBR; CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; DATA MINING TECHNIQUES; DECISION SUPPORTS; FEATURE WEIGHT; HYPERTENSION DETECTION; HYPERTENSION DISEASE; MEDICAL DECISION SUPPORTS; NEURAL NET; RESEARCH ISSUES; SCANNING DATA; THREE-DIMENSIONAL (3D);

ANTHROPOMETRY; ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION SUPPORT SYSTEMS; DECISION TREES; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; MEDICAL COMPUTING; SCANNING; THREE DIMENSIONAL;

CASE BASED REASONING;

EID: 77957980038     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.07.002     Document Type: Article

References (29)

1. http://www.doh.gov.tw/CHT2006/DM/DM2-2.aspx?now-fod-list-no= 10493&class-no=440&level-no=2 (data Accessed 10.04.2009.
2. B. Ombuki, B.J. Ross, and F. Hanshar Multi-objective genetic algorithms for vehicle routing problem with time windows Appl. Intell. 24 1 2006 17 30
3. W. Chen, W. Bao, S. Begum, A. Elkasabany, S.R. Srinivasan, and G.S. Berenson Age-related patterns of the clustering of cardiovascular risk variables of syndrome X from childhood to young adulthood in population made up of black and white subjects: the Bogalusa heart study Diabetes 49 2000 1042 1048
4. J. Jeppesen, H.O. Hein, P. Suadicani, and F. Gyntelberg High triglycerides and low HDL cholesterol and blood pressure and risk of ischemic heart disease Hypertension 36 2000 226 232
5. A.M. Coombes, J.P. Moss, A.D. Linney, R. Richards, and D.R. James A mathematical method for the comparison of 3D changes in the facial surface Eur. J. Orthodont. 13 1991 95 110
6. G.S. Berenson, A.W. Voors, L.S. Webber, L.S.J. Dalferes, and D.W. Harsha Racial differences of parameters associated with blood pressure levels in children: the Bogalusa heart study Metabolism 28 1979 1218 1228
7. M. Kaya, and R. Alhajj Utilizing genetic algorithms to optimize membership functions for fuzzy weighted association rules mining Appl. Intell. 24 1 2006 7 15
8. J.D. Lin, W.K. Chiou, H.F. Weng, Y.H. Tsai, and T.H. Liu Comparison of three-dimensional anthropometric body surface scanning to waist-hip ratio and body mass index in correlation with metabolic risk factors J. Clin. Epidemiol. 55 2002 757 766
9. P.R.M. Jones, and M. Rioux Three-dimensional surface anthropometry: applications to the human body Opt. Laser Eng. 28 1997 89 117 (Pubitemid 127425969)
10. N.H. Chiu, and S.J. Huang The adjusted analogy-based software effort estimation based on similarity distances J. Syst. Softw. 80 4 2007 628 640
11. M. Jorgenson A review of studies on expert estimation of software development effort J. Syst. Softw. 70 2004 37 60
12. G. Subcommittee World health organization-international society of hypertension guidelines for the management of hypertension J. Hypertens. 17 1999 151 183
13. I. Bichindaritz Case-based reasoning in the health sciences Artif. Intell. Med. 36 2 2006 121 125
14. R.R. Yager Soft aggregation methods in case based reasoning Appl. Intell. 21 3 2004 277 288
15. M. Auer, A. Trendowicz, B. Graser, E. Haunschmid, and S. Biffl Optimal project feature weights in analogy-based cost estimation: improvement and limitations IEEE Trans. Softw. Eng. 32 2 2006 83 92
16. E. Mendes, N. Mosley, S. Counsell, The application of case-based reasoning to early web project cost estimation, in: Proceedings of the 26th Annual International Computer Software and Applications Conference, 2002.
17. E. Mendes, I. Watson, C. Triggs, N. Mosley, S. Counsell, A comparison of development cost estimation techniques for web hypermedia application, in: Proceedings of the Eighth IEEE Symposium on Software Metrics, 2002, pp. 131-140.
18. J. Holland Adaptation in Natural and Artificial Systems 1975 University of Michigan Press Ann Arbor, Mich., USA
19. R.H. Gong, M. Zulkernine, P. Abolmaesumi, A software implementation of a genetic algorithm based approach to network intrusion detection, in: Proceedings of the Sixth International Conference on Software Engineering, 2005, pp. 246-253.
20. S. Impedovo, M.G. Lucchese, and G. Pirlo Optimal zoning design by genetic algorithms IEEE Trans. Syst. Man Cybernet. 36 5 2006 833 846
21. L. Yang, B.F. Jones, and S.H. Yang Genetic algorithm based software integration with minimum software risk Inform. Softw. Technol. 48 2006 133 141
22. T.W. Liao, C.R. Zhang, and C.R. Mount A cased-based reasoning system for identifying failure mechanisms Eng. Appl. Artif. Intell. 13 2 2000 199 213
23. C. Chiu, N.H. Chiu, and C.I. Hsu Intelligent aircraft maintenance support system using genetic algorithms and case-based reasoning Int. J. Adv. Manuf. Technol. 24 5-6 2004 440 446
24. Guidelines Subcommittee, World health organization-international society of hypertension guidelines for the management of hypertension, J. Hypertens. 17 (1999) 151-183.
25. C. Chiu, K.H. Hsu, P.L. Hsu, C.I. Hsu, P.C. Lee, W.K. Chiou, T.H. Liu, Y.C. Chuang, and C.J. Hwang Mining three-dimensional anthropometric body surface scanning data for hypertension detection IEEE Trans. Inform. Technol. Biomed. 11 3 2007 264 273
26. K. Kroemer Engineering anthropometry Ergonomics 32 1989 767 784
27. K.A. Kobbacy, S. Vadera, and M. Rasmi AI and OR in management of operations: history and trends J. Oper. Res. Soc. 58 2007 10 28
28. A. Asuncion, D.J. Newman, UCI machine learning repository , University of California, School of Information and Computer Science, Irvine, CA 2007.
29. S. Polak, and A. Mendyk Artificial neural networks based Internet hypertension prediction tool development and validation Appl. Soft Comput. 8 1 2008 734 739