메뉴 건너뛰기




Volumn 26, Issue 4, 2017, Pages

An efficient system for heart disease prediction using hybrid OFBAT with rule-based fuzzy logic model

Author keywords

feature reduction; FFBAT; fuzzy logic classifier; Heart disease prediction; LPP; membership function; RBFL

Indexed keywords

BIOLUMINESCENCE; CARDIOLOGY; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; COMPUTER AIDED DIAGNOSIS; COMPUTER CIRCUITS; DIAGNOSIS; DISEASES; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; HEART; MEMBERSHIP FUNCTIONS; RECONFIGURABLE HARDWARE;

EID: 84992747386     PISSN: 02181266     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021812661750061X     Document Type: Article
Times cited : (93)

References (41)
  • 3
    • 0344309885 scopus 로고    scopus 로고
    • Data mining issues and opportunities for building nursing knowledge
    • L. Goodwin, M. VanDyne, S. Lin and S. Talbert. Data mining issues and opportunities for building nursing knowledge. J. Biomed. Informat. 36 (2003) 379-388
    • (2003) J. Biomed. Informat , vol.36 , pp. 379-388
    • Goodwin, L.1    VanDyne, M.2    Lin, S.3    Talbert, S.4
  • 4
    • 0026775675 scopus 로고
    • Review of neural network applications in medical imaging and signal processing
    • A. Miller, B. Blott and T. Hames. Review of neural network applications in medical imaging and signal processing. Med. Biol. Engg. Comp. 30 (1992) 449-464
    • (1992) Med. Biol. Engg. Comp , vol.30 , pp. 449-464
    • Miller, A.1    Blott, B.2    Hames, T.3
  • 5
    • 0023181523 scopus 로고
    • Computer programs to support clinical decision making
    • E. H. Shortlie, Computer programs to support clinical decision making, J. Am. Med. Assoc. 258 (1987
    • (1987) J. Am. Med. Assoc , vol.258
    • Shortlie, E.H.1
  • 6
    • 85002448660 scopus 로고    scopus 로고
    • Review on prediction system for heart diagnosis using data mining techniques
    • D. Kundra and N. Kaur. Review on prediction system for heart diagnosis using data mining techniques. Int. J. Latest Res. Eng. Technol. 1 (2015) 9-14
    • (2015) Int. J. Latest Res. Eng. Technol , vol.1 , pp. 9-14
    • Kundra, D.1    Kaur, N.2
  • 7
    • 0027682531 scopus 로고
    • Inductive and Bayesian learning in medical diagnosis
    • I. Kononenko. Inductive and Bayesian learning in medical diagnosis. Appl. Artif. Intel. 7 (1993) 317-37
    • (1993) Appl. Artif. Intel , vol.7 , pp. 317-337
    • Kononenko, I.1
  • 8
    • 0028349692 scopus 로고
    • Machine learning techniques to diagnose breast cancer from fine-needle aspirates
    • W. H. Wolberg, W. N. Street and O. L. Mangasarian. Machine learning techniques to diagnose breast cancer from fine-needle aspirates. Cancer Lett. 77 (1994) 163-171
    • (1994) Cancer Lett , vol.77 , pp. 163-171
    • Wolberg, W.H.1    Street, W.N.2    Mangasarian, O.L.3
  • 10
    • 84901196007 scopus 로고    scopus 로고
    • Early prediction of heart diseases using data mining
    • V. Chaurasia. Early prediction of heart diseases using data mining. Caribbean J. Sci. Technol. 1 (2013) 208-217
    • (2013) Caribbean J. Sci. Technol , vol.1 , pp. 208-217
    • Chaurasia, V.1
  • 11
    • 84901431429 scopus 로고    scopus 로고
    • A data mining approach for prediction of heart disease using neural networks
    • D. S. Chaitrali and A. S. Sulabha. A data mining approach for prediction of heart disease using neural networks. Int. J. Comput. Eng. Technol. 3 (2012) 30-40
    • (2012) Int. J. Comput. Eng. Technol , vol.3 , pp. 30-40
    • Chaitrali, D.S.1    Sulabha, A.S.2
  • 12
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • A. M. Fatih. Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36 (2009) 3240-3247
    • (2009) Expert Syst. Appl , vol.36 , pp. 3240-3247
    • Fatih, A.M.1
  • 13
    • 84974722422 scopus 로고    scopus 로고
    • Diversity versus quality in classification ensembles based on feature selection
    • R. Lopez de Mantaras and E. Plaza (eds. Springer Verlag
    • P. Cunningham and J. G. Carney. Diversity versus quality in classification ensembles based on feature selection, 11th European Conf. Machine Learning (2000). Lecture Notes in Artificial Intelligence, R. Lopez de Mantaras and E. Plaza (eds.) (Springer Verlag, 2000), pp. 109-116
    • (2000) 11th European Conf. Machine Learning 2000). Lecture Notes in Artificial Intelligence , pp. 109-116
    • Cunningham, P.1    Carney, J.G.2
  • 15
  • 16
    • 0034333688 scopus 로고    scopus 로고
    • A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
    • Y. Hayashi, R. Setiono and K. Yoshida. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Artif. Intel. Med. 20 (2000) 205-216
    • (2000) Artif. Intel. Med , vol.20 , pp. 205-216
    • Hayashi, Y.1    Setiono, R.2    Yoshida, K.3
  • 17
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • I. Kononenko. Machine learning for medical diagnosis: History, state of the art and perspective. Artif. Intel. Med. 23 (2001) 89-109
    • (2001) Artif. Intel. Med , vol.23 , pp. 89-109
    • Kononenko, I.1
  • 18
    • 0036146402 scopus 로고    scopus 로고
    • Lung cancer cell identification based on artificial neural network ensembles
    • Z. H. Zhou, Y. Jiang, Y. B. Yang and S. F. Chen. Lung cancer cell identification based on artificial neural network ensembles. Artif. Intel. Med. 24 (2002) 25-36
    • (2002) Artif. Intel. Med , vol.24 , pp. 25-36
    • Zhou, Z.H.1    Jiang, Y.2    Yang, Y.B.3    Chen, S.F.4
  • 21
    • 77952351023 scopus 로고    scopus 로고
    • SDED: A novel filter method for cancer-related gene selection
    • W. Xu, M. Wang, X. Zhang, L. Wang and H. Feng, SDED: A novel filter method for cancer-related gene selection. Bio Inf. 2 (2008) 301-303
    • (2008) Bio Inf , vol.2 , pp. 301-303
    • Xu, W.1    Wang, M.2    Zhang, X.3    Wang, L.4    Feng, H.5
  • 22
    • 0041627900 scopus 로고    scopus 로고
    • Multiclass cancer classification using gene expression profiling and probabilistic neural networks
    • D. P. Berrar. C. S. Downes and W. Dubitzky, Multiclass cancer classification using gene expression profiling and probabilistic neural networks, Pacific Symp. Bio Comput. 8 (2003) 5-16
    • (2003) Pacific Symp. Bio Comput , vol.8 , pp. 5-16
    • Berrar, D.P.1    Downes, C.S.2    Dubitzky, W.3
  • 23
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • S. Dudoit, J. Fridlyand and T. P. Speed. Comparison of discrimination methods for the classification of tumors using gene expression data. J. Am. Stat. Assoc. 97 (2002
    • (2002) J. Am. Stat. Assoc , vol.97
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 24
    • 0035664710 scopus 로고    scopus 로고
    • Gene assessment and sample classification for Gene expression data using a genetic algorithm and k-nearest neighbor method
    • L. Li, T. A. Darden, C. R. Weingberg, A. J. Levine and L. G. Pedersen. Gene assessment and sample classification for Gene expression data using a genetic algorithm and k-nearest neighbor method. Comb. Chem. High Throughput Screen. 4 (2001) 727-739
    • (2001) Comb. Chem. High Throughput Screen , vol.4 , pp. 727-739
    • Li, L.1    Darden, T.A.2    Weingberg, C.R.3    Levine, A.J.4    Pedersen, L.G.5
  • 25
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • J. Khan, et al., Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med. 7 (2001) 673-679
    • (2001) Nat. Med , vol.7 , pp. 673-679
    • Khan, J.1
  • 27
    • 84862704825 scopus 로고    scopus 로고
    • Tumor classification using eigen gene-based classifier committee learning algorithm
    • Z. L. Sun, C. H. Zheng, Q. W. Gao, J. Zhang and D. X. Zhan. Tumor classification using eigen gene-based classifier committee learning algorithm. IEEE Signal Proces. Lett. 19 (2012) 455-458
    • (2012) IEEE Signal Proces. Lett , vol.19 , pp. 455-458
    • Sun, Z.L.1    Zheng, C.H.2    Gao, Q.W.3    Zhang, J.4    Zhan, D.X.5
  • 28
    • 84890117327 scopus 로고    scopus 로고
    • A hybrid intelligent system for medical data classification
    • M. Seera and C. P. Lim. A hybrid intelligent system for medical data classification. Expert Syst. Appl. 41 (2014) 2239-2249
    • (2014) Expert Syst. Appl , vol.41 , pp. 2239-2249
    • Seera, M.1    Lim, C.P.2
  • 29
    • 77957898242 scopus 로고    scopus 로고
    • A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification
    • C. Y. Fana, P. C. Chang, J. J. Lin and J. C. Hsieh. A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification. Appl. Soft Comput. 11 (2011) 632-644
    • (2011) Appl. Soft Comput , vol.11 , pp. 632-644
    • Fana, C.Y.1    Chang, P.C.2    Lin, J.J.3    Hsieh, J.C.4
  • 32
    • 84879861294 scopus 로고    scopus 로고
    • An e cient SVM based tumor classification with symmetry non-negative matrix factorization using gene expression data
    • N. Yuvaraj and P. Vivekanandan. An e cient SVM based tumor classification with symmetry non-negative matrix factorization using gene expression data. Inf. Commun. Embed. Syst. (2013) 761-768
    • (2013) Inf. Commun. Embed. Syst , pp. 761-768
    • Yuvaraj, N.1    Vivekanandan, P.2
  • 33
    • 84907984820 scopus 로고    scopus 로고
    • AGFS: Adaptive genetic fuzzy system for medical data classification
    • B. Dennis, S. Muthukrishnan, AGFS: Adaptive genetic fuzzy system for medical data classification. Appl. Soft Comput. 25 (2014) 242-252
    • (2014) Appl. Soft Comput , vol.25 , pp. 242-252
    • Dennis, B.1    Muthukrishnan, S.2
  • 34
    • 77951675054 scopus 로고    scopus 로고
    • A new metaheuristic bat-inspired algorithm
    • Eds J. R. Gonzalez, et al., Studies in Computational Intelligence Springer Berlin, Heidelberg
    • X. S. Yang. A new metaheuristic bat-inspired algorithm, Nature Inspired Cooperative Strategies for Optimization, (NISCO 2010), Eds. J. R. Gonzalez, et al., Studies in Computational Intelligence (Springer Berlin, Heidelberg, 2010), pp. 65-74
    • (2010) Nature Inspired Cooperative Strategies for Optimization, (NISCO 2010 , pp. 65-74
    • Yang, X.S.1
  • 38
    • 84900029480 scopus 로고    scopus 로고
    • Rough-fuzzy classifier: A system to predict the heart disease by blending two dierent set theories
    • K. Srinivas, G. R. Rao and A. Govardhan. Rough-fuzzy classifier: A system to predict the heart disease by blending two dierent set theories. Comput. Eng. Comput. Sci. 39(4) (2014) 2857-2868
    • (2014) Comput. Eng. Comput. Sci , vol.39 , Issue.4 , pp. 2857-2868
    • Srinivas, K.1    Rao, G.R.2    Govardhan, A.3
  • 40
    • 84973482152 scopus 로고    scopus 로고
    • FFBAT-optimized rule based fuzzy logic classifier for diabetes
    • G. T. Reddy and N. Khare, FFBAT-optimized rule based fuzzy logic classifier for diabetes. Int. J. Eng. Res. Africa 24 (2016) 137-152
    • (2016) Int. J. Eng. Res. Africa , vol.24 , pp. 137-152
    • Reddy, G.T.1    Khare, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.