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Volumn 9, Issue , 2010, Pages 82-95

Data mining of magnetocardiograms for prediction of ischemic heart disease

Author keywords

Back propagation neural network; Bayesian Neural network; Data mining; Ischemia; Magnetocardiography; Probabilistic Neural network; Support vector machine

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BAYESIAN LEARNING; CONTROLLED STUDY; DATA MINING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; ISCHEMIC HEART DISEASE; KERNEL METHOD; MACHINE LEARNING; MAGNETOCARDIOGRAPHY; PATIENT IDENTIFICATION; PREDICTION; PREDICTIVE VALUE; PROBABILISTIC NEURAL NETWORK; PROCESS OPTIMIZATION; RADIAL BASED FUNCTION; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION STUDY;

EID: 80455137093     PISSN: None     EISSN: 16112156     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (30)

References (36)
  • 3
    • 0027945580 scopus 로고
    • Use of the rate-corrected JT interval for prediction of repolarization abnormalities in children
    • Berul CI, Sweeten TL, Dubin AM, Sham MJ, Vetter VL. Use of the rate-corrected JT interval for prediction of repolarization abnormalities in children. Am J Cardiol 1994;74:1254-7.
    • (1994) Am J Cardiol , vol.74 , pp. 1254-1257
    • Berul, C.I.1    Sweeten, T.L.2    Dubin, A.M.3    Sham, M.J.4    Vetter, V.L.5
  • 6
    • 2342646229 scopus 로고    scopus 로고
    • Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines
    • Chou SM, Lee TS, Shao YE, Chen IF. Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines. Expert Syst with Appl 2004;27:133-42.
    • (2004) Expert Syst With Appl , vol.27 , pp. 133-142
    • Chou, S.M.1    Lee, T.S.2    Shao, Y.E.3    Chen, I.F.4
  • 10
    • 84861771758 scopus 로고    scopus 로고
    • Faculty of Science, Thaksin University [Online]. 2006 [cited 2010 Apr 19]; available from: URL
    • Faculty of Science, Thaksin University [Online]. 2006 [cited 2010 Apr 19]; available from: URL:www.sci.tsu.ac.th/sciptl/radio/tape043/colesterol.doc.
  • 11
    • 24944454122 scopus 로고    scopus 로고
    • Clinical validation of machine learning for automatic analysis of multichannel magnetocardiography
    • In: Frangi AF, Radeva PI, Santos A, Hernandez M, Berlin: Springer-Verlag
    • Fenici R, Brisinda D, Meloni AM, Sternickel K, Fenici P. Clinical validation of machine learning for automatic analysis of multichannel magnetocardiography. In: Frangi AF, Radeva PI, Santos A, Hernandez M (Eds). Functional imaging and modeling of the heart (pp 143-152). Berlin: Springer-Verlag, 2005.
    • (2005) Functional Imaging and Modeling of the Heart , pp. 143-152
    • Fenici, R.1    Brisinda, D.2    Meloni, A.M.3    Sternickel, K.4    Fenici, P.5
  • 12
    • 0036093148 scopus 로고    scopus 로고
    • Better decisions through science: Exercise testing scores
    • Froelicher V, Shetler K, Ashley E. Better decisions through science: Exercise testing scores. Prog Cardiovasc Dis 2002;44:395-414.
    • (2002) Prog Cardiovasc Dis , vol.44 , pp. 395-414
    • Froelicher, V.1    Shetler, K.2    Ashley, E.3
  • 14
    • 33750936249 scopus 로고    scopus 로고
    • Comparison between neural network and multiple logistic regression to predict acute coronary syndrome in the emergency room
    • Green M, Bjork J, Forberg J, Ekelund U, Edenbrandt L, Ohlsson M. Comparison between neural network and multiple logistic regression to predict acute coronary syndrome in the emergency room. Artif Intell Med 2006;38:305-18.
    • (2006) Artif Intell Med , vol.38 , pp. 305-318
    • Green, M.1    Bjork, J.2    Forberg, J.3    Ekelund, U.4    Edenbrandt, L.5    Ohlsson, M.6
  • 16
    • 0037343941 scopus 로고    scopus 로고
    • A new screening method to diagnose coronary artery disease using multichannel magnetocardiogram and simple exercise
    • Kanzaki H, Nakatami S, Kandori A, Tsukada K, Miyatake K. A new screening method to diagnose coronary artery disease using multichannel magnetocardiogram and simple exercise. Basic Res Cardiol 2003;98:124-32.
    • (2003) Basic Res Cardiol , vol.98 , pp. 124-132
    • Kanzaki, H.1    Nakatami, S.2    Kandori, A.3    Tsukada, K.4    Miyatake, K.5
  • 17
    • 0035268696 scopus 로고    scopus 로고
    • SQUID magnetocardiography: Status and perspectives
    • Koch H. SQUID magnetocardiography: status and perspectives. IEEE Trans Appl Supercond 2001;11:49-59.
    • (2001) IEEE Trans Appl Supercond , vol.11 , pp. 49-59
    • Koch, H.1
  • 18
    • 85164392958 scopus 로고
    • A study of study cross-validation and bootstrap for accuracy estimation and model selection
    • San Francisco, In: Mellish CS, San Francisco, CA: Morgan Kaufman, 1995
    • Kohavi R. A study of study cross-validation and bootstrap for accuracy estimation and model selection. In: Mellish CS (Ed). Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1995, San Francisco (pp 1137-1143). San Francisco, CA: Morgan Kaufman, 1995.
    • (1995) Proceedings of the 14th International Joint Conference On Artificial Intelligence , pp. 1137-1143
    • Kohavi, R.1
  • 19
    • 50249110584 scopus 로고    scopus 로고
    • Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram
    • Mehta SS, Lingayat NS. Development of SVM based classification techniques for the delineation of wave components in 12-lead electrocardiogram. Biomed Signal Process 2008;3:341-9.
    • (2008) Biomed Signal Process , vol.3 , pp. 341-349
    • Mehta, S.S.1    Lingayat, N.S.2
  • 22
    • 52049113437 scopus 로고    scopus 로고
    • Prediction of bond dissociation enthalpy of antioxidant phenols by support vector machine
    • Nantasenamat C, Isarankura-Na-Ayudhya C, Naenna T. Prediction of bond dissociation enthalpy of antioxidant phenols by support vector machine. J Mol Graph Model 2008;27:188-96.
    • (2008) J Mol Graph Model , vol.27 , pp. 188-196
    • Nantasenamat, C.1    Isarankura-Na-Ayudhya, C.2    Naenna, T.3
  • 24
    • 34249317613 scopus 로고    scopus 로고
    • Breast cancer diagnosis using least square support vector machine
    • Polat K, Gunes S. Breast cancer diagnosis using least square support vector machine. Digit Signal Process 2007;17:694-701.
    • (2007) Digit Signal Process , vol.17 , pp. 694-701
    • Polat, K.1    Gunes, S.2
  • 25
    • 0009065150 scopus 로고    scopus 로고
    • Detection of myocardial ischemia by magnetocardiogram using 64-channel SQUID system
    • In: Nenonen J, Imoniemi RJ, Katila T, 2001, Espoo: Helsinki University Technology
    • Sato M, Terada Y, Mitsui T, Miyashita T, Kandori A. Tsukada K. Detection of myocardial ischemia by magnetocardiogram using 64-channel SQUID system. In: Nenonen J, Imoniemi RJ, Katila T (Eds). Proceedings of the 12th International Conference on Biomagnetism, 2001 (pp 523-526). Espoo: Helsinki University Technology, 2001.
    • (2001) Proceedings of the 12th International Conference on Biomagnetism , pp. 523-526
    • Sato, M.1    Terada, Y.2    Mitsui, T.3    Miyashita, T.4    Kandori, A.5    Tsukada, K.6
  • 26
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht DF. Probabilistic neural networks. Neural Networks 1990;3:109-18.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 28
    • 0036272466 scopus 로고    scopus 로고
    • Magnetocardiography: Current status and perspectives. Part I: Physical principles and instrumentation
    • Tavarozzi I, Comani S, Gratta CD, Romani GL, Luzio SD, Brisinda D et al. Magnetocardiography: current status and perspectives. Part I: Physical principles and instrumentation. Ital Heart J 2002;3(2):75-85.
    • (2002) Ital Heart J , vol.3 , Issue.2 , pp. 75-85
    • Tavarozzi, I.1    Comani, S.2    Gratta, C.D.3    Romani, G.L.4    Luzio, S.D.5    Brisinda, D.6
  • 29
    • 60349107274 scopus 로고    scopus 로고
    • A comparative study on diabetes disease diagnosis using neural networks
    • Temurtas H, Yumusak N, Temurtas F. A comparative study on diabetes disease diagnosis using neural networks. Expert Syst Appl 2009;36:8610-5.
    • (2009) Expert Syst Appl , vol.36 , pp. 8610-8615
    • Temurtas, H.1    Yumusak, N.2    Temurtas, F.3
  • 30
    • 4143057164 scopus 로고    scopus 로고
    • Measuring technology for cardiac magneto-field using ultra-sensitive magnetic sensor for high speed and noninvasive cardiac examination
    • Tsukada K, Sasabuchi H, Mitsui T. Measuring technology for cardiac magneto-field using ultra-sensitive magnetic sensor for high speed and noninvasive cardiac examination. Hitachi Rev 1999;48:116-9.
    • (1999) Hitachi Rev , vol.48 , pp. 116-119
    • Tsukada, K.1    Sasabuchi, H.2    Mitsui, T.3
  • 31
    • 0034480916 scopus 로고    scopus 로고
    • Magnetocardiographic mapping characteristic for diagnosis of ischemic heart disease
    • Tsukada K, Miyashita T, Kandori A, Yamada S, Sato M, Terada Y et al. Magnetocardiographic mapping characteristic for diagnosis of ischemic heart disease. Comput Cardiol 2000;27:505-8.
    • (2000) Comput Cardiol , vol.27 , pp. 505-508
    • Tsukada, K.1    Miyashita, T.2    Kandori, A.3    Yamada, S.4    Sato, M.5    Terada, Y.6
  • 35
    • 13844312625 scopus 로고    scopus 로고
    • Magnetocardiograms in clinical medicine: Unique information on cardiac ischemia, arrhythmias, and fetal diagnosis
    • Yamada S, Yamaguchi I. Magnetocardiograms in clinical medicine: Unique information on cardiac ischemia, arrhythmias, and fetal diagnosis. Intern Med 2005;44:1-19.
    • (2005) Intern Med , vol.44 , pp. 1-19
    • Yamada, S.1    Yamaguchi, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.