메뉴 건너뛰기




Volumn 55, Issue 3, 2018, Pages 419-433

Feature selection method based on class discriminative degree for intelligent medical diagnosis

Author keywords

Class discriminative degree; EMR; Feature selection; Medical expert system; Multi label classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION MAKING; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; FEATURE EXTRACTION; MEDICAL COMPUTING; STATISTICAL TESTS;

EID: 85049175803     PISSN: 15462218     EISSN: 15462226     Source Type: Journal    
DOI: 10.3970/cmc.2018.02289     Document Type: Article
Times cited : (48)

References (27)
  • 2
    • 85041419126 scopus 로고    scopus 로고
    • An expert system design to diagnose cancer by using a new method reduced rule base
    • Başçiftçi, F.; Avuçlu, E. (2018): An expert system design to diagnose cancer by using a new method reduced rule base. Computer Methods and Programs in Biomedicine, Vol. 157, pp. 113-120.
    • (2018) Computer Methods and Programs in Biomedicine , vol.157 , pp. 113-120
    • Başçiftçi, F.1    Avuçlu, E.2
  • 3
    • 84908027298 scopus 로고    scopus 로고
    • Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms
    • Bromuri, S.; Zufferey, D.; Hennebert, J.; Schumacher, M. (2014): Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. Journal of Biomedical Informatics, Vol. 51, pp. 165-175.
    • (2014) Journal of Biomedical Informatics , vol.51 , pp. 165-175
    • Bromuri, S.1    Zufferey, D.2    Hennebert, J.3    Schumacher, M.4
  • 5
    • 85029529704 scopus 로고    scopus 로고
    • Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
    • Chen, G.; Ye, D.; Xing, Z.; Chen, J.; Cambria, E. (2017): Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. International Joint Conference on Neural Networks, pp. 2377-2383.
    • (2017) International Joint Conference on Neural Networks , pp. 2377-2383
    • Chen, G.1    Ye, D.2    Xing, Z.3    Chen, J.4    Cambria, E.5
  • 6
    • 85045510977 scopus 로고    scopus 로고
    • Edge-based efficient search over encrypted data mobile cloud storage
    • Guo, Y.; Liu, F.; Cai, Z.; Xiao, N.; Zhao, Z. (2018): Edge-based efficient search over encrypted data mobile cloud storage. Sensors, Vol. 18, no. 1, pp. 1189.
    • (2018) Sensors , vol.18 , Issue.1 , pp. 1189
    • Guo, Y.1    Liu, F.2    Cai, Z.3    Xiao, N.4    Zhao, Z.5
  • 7
    • 84965096153 scopus 로고    scopus 로고
    • Semi-supervised convolutional neural networks for text categorization via region embedding
    • Johnson, R.; Zhang, T. (2015): Semi-supervised convolutional neural networks for text categorization via region embedding. Advances in Neural Information Processing Systems, Vol. 28, pp. 919-927.
    • (2015) Advances in Neural Information Processing Systems , vol.28 , pp. 919-927
    • Johnson, R.1    Zhang, T.2
  • 8
    • 85046685842 scopus 로고    scopus 로고
    • Construction low complexity and low delay CDS for big data codes dissemination
    • Liu, X.; Dong, M.; Liu, Y.; Liu, A.; Xiong, N. (2018): Construction low complexity and low delay CDS for big data codes dissemination. Complexity, Vol. 2018.
    • (2018) Complexity , vol.2018
    • Liu, X.1    Dong, M.2    Liu, Y.3    Liu, A.4    Xiong, N.5
  • 9
    • 85043474272 scopus 로고    scopus 로고
    • A services routing based caching scheme for cloud assisted CRNs
    • Huang, M.; Liu, Y.; Zhang, N.; Xiong, N.; Liu, A. et al. (2017): A services routing based caching scheme for cloud assisted CRNs. IEEE Access, Vol. 6, no. 1, pp. 15787-15805.
    • (2017) IEEE Access , vol.6 , Issue.1 , pp. 15787-15805
    • Huang, M.1    Liu, Y.2    Zhang, N.3    Xiong, N.4    Liu, A.5
  • 10
    • 84926179397 scopus 로고    scopus 로고
    • Linguistic regularities in continuous space word representations
    • Milolov, T.; Yih, W. T.; Zweig, G. (2013): Linguistic regularities in continuous space word representations. Proceedings of NAACL-HLT, pp. 746-751.
    • (2013) Proceedings of NAACL-HLT , pp. 746-751
    • Milolov, T.1    Yih, W.T.2    Zweig, G.3
  • 13
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys, Y.; Inza, I.; Larrañaga, P. (2007): A review of feature selection techniques in bioinformatics. Bioinformatics, Vol. 23, no. 19, pp. 2507-2517.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 14
    • 84886614002 scopus 로고
    • Computer-based consultations in clinical therapeutics: Explanation and rule acquisition capabilities of the mycin system
    • Shortliffe, E. H.; Davis, R.; Axline, S. G.; Buchanan, B. G.; Green, C. C. et al. (1975): Computer-based consultations in clinical therapeutics: Explanation and rule acquisition capabilities of the mycin system. Computers and Biomedical Research, Vol. 8, no. 4, pp. 303-320.
    • (1975) Computers and Biomedical Research , vol.8 , Issue.4 , pp. 303-320
    • Shortliffe, E.H.1    Davis, R.2    Axline, S.G.3    Buchanan, B.G.4    Green, C.C.5
  • 16
    • 85050914933 scopus 로고    scopus 로고
    • Data processing and text mining technologies on electronic medical records: A review
    • Sun, W.; Cai, Z.; Li, Y.; Liu, F.; Fang, S. et al. (2018): Data processing and text mining technologies on electronic medical records: A review. Journal of Healthcare Engineering, Vol. 2018.
    • (2018) Journal of Healthcare Engineering , vol.2018
    • Sun, W.1    Cai, Z.2    Li, Y.3    Liu, F.4    Fang, S.5
  • 18
    • 85008448655 scopus 로고    scopus 로고
    • Toward non-intrusive load monitoring via multi-label classification
    • Tabatabaei, S. M.; Dick, S.; Xu, W. (2017): Toward non-intrusive load monitoring via multi-label classification. IEEE Transactions on Smart Grid, Vol. 8, no. 1, pp. 26-40.
    • (2017) IEEE Transactions on Smart Grid , vol.8 , Issue.1 , pp. 26-40
    • Tabatabaei, S.M.1    Dick, S.2    Xu, W.3
  • 19
    • 85042787741 scopus 로고    scopus 로고
    • A trust-based secure routing scheme using the traceback approach for energy-harvesting wireless sensor networks
    • Tang, J.; Liu, A.; Zhang, J.; Xiong, N. N.; Zeng, Z. et al. (2018): A trust-based secure routing scheme using the traceback approach for energy-harvesting wireless sensor networks. Sensors, Vol. 18, no. 3, pp. 751.
    • (2018) Sensors , vol.18 , Issue.3 , pp. 751
    • Tang, J.1    Liu, A.2    Zhang, J.3    Xiong, N.N.4    Zeng, Z.5
  • 20
    • 85027065046 scopus 로고    scopus 로고
    • Diagnosis code assignment using sparsity-based disease correlation embedding
    • Wang, S.; Chang, X.; Li, X.; Long, G.; Yao, L. et al. (2016): Diagnosis code assignment using sparsity-based disease correlation embedding. IEEE Transactions on Knowledge and Data Engineering, Vol. 28, no. 12, pp. 3191-3202.
    • (2016) IEEE Transactions on Knowledge and Data Engineering , vol.28 , Issue.12 , pp. 3191-3202
    • Wang, S.1    Chang, X.2    Li, X.3    Long, G.4    Yao, L.5
  • 23
    • 33947681316 scopus 로고    scopus 로고
    • Ml-knn: A lazy learning approach to multi-label learning
    • Zhang, M.; Zhou, Z. (2007): Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition, Vol. 40, no. 7, pp. 2038-2048.
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.1    Zhou, Z.2
  • 26
    • 84923658744 scopus 로고    scopus 로고
    • Block-row sparse multiview multilabel learning for image classification
    • Zhu, X.; Li, X.; Zhang, S. (2016): Block-row sparse multiview multilabel learning for image classification. IEEE Transactions on Cybernetics, Vol. 46, no. 2, pp. 450-461.
    • (2016) IEEE Transactions on Cybernetics , vol.46 , Issue.2 , pp. 450-461
    • Zhu, X.1    Li, X.2    Zhang, S.3
  • 27
    • 84939477520 scopus 로고    scopus 로고
    • Performance comparison of multi-label learning algorithms on clinical data for chronic diseases
    • Zufferey, D.; Hofer, T.; Hennebert, J.; Schumacher, M.; Ingold, R. et al. (2015): Performance comparison of multi-label learning algorithms on clinical data for chronic diseases. Computers in Biology and Medicine, Vol. 65, pp. 34-43.
    • (2015) Computers in Biology and Medicine , vol.65 , pp. 34-43
    • Zufferey, D.1    Hofer, T.2    Hennebert, J.3    Schumacher, M.4    Ingold, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.