메뉴 건너뛰기




Volumn 31, Issue 5, 2014, Pages 389-397

A new adaptive support vector machine for diagnosis of diseases

Author keywords

Adaptive support vector machine; Breast cancer; Diabetes; Diagnosis

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION MAKING; DIAGNOSIS; DISEASES; FUZZY CONTROL; MEDICAL COMPUTING; MEDICAL PROBLEMS; SUPPORT VECTOR MACHINES;

EID: 84911007957     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/exsy.12051     Document Type: Article
Times cited : (37)

References (45)
  • 1
    • 56349089940 scopus 로고    scopus 로고
    • Support vector machines combined with feature selection for breast cancer diagnosis
    • AKAY, M.F. (2009) Support vector machines combined with feature selection for breast cancer diagnosis, Expert Systems with Applications, 36, 3240-3247.
    • (2009) Expert Systems with Applications , vol.36 , pp. 3240-3247
    • Akay, M.F.1
  • 3
    • 68649125304 scopus 로고    scopus 로고
    • New supervised multi layer feed forward neural network model to accelerate classification with high accuracy
    • ASADI, R., N. MUSTAPHA, N. SULAIMAN, N. SHIRI (2009) New supervised multi layer feed forward neural network model to accelerate classification with high accuracy, European Journal of Scientific Research, 33, 163-178.
    • (2009) European Journal of Scientific Research , vol.33 , pp. 163-178
    • Asadi, R.1    Mustapha, N.2    Sulaiman, N.3    Shiri, N.4
  • 7
    • 34948844661 scopus 로고    scopus 로고
    • A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue
    • CHEN, Z., J. LI, L. WEI (2007) A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue, Artificial Intelligence in Medicine, 41, 161-175.
    • (2007) Artificial Intelligence in Medicine , vol.41 , pp. 161-175
    • Chen, Z.1    Li, J.2    Wei, L.3
  • 8
    • 71249137664 scopus 로고    scopus 로고
    • A new fuzzy rule-based initialization method for k-nearest neighbor classifier, Fuzzy Systems
    • CHUA, T., W. TAN (2009) A new fuzzy rule-based initialization method for k-nearest neighbor classifier, Fuzzy Systems, FUZZEEE 2009, IEEE International Conference, 20-24 August, 415-420.
    • (2009) FUZZEEE 2009, IEEE International Conference, 20-24 August , pp. 415-420
    • Chua, T.1    Tan, W.2
  • 11
    • 77954962173 scopus 로고    scopus 로고
    • Using fuzzy ant colony optimization for diagnosis of diabetes disease
    • GANJI, M.F., M.S. ABADEH (2010) Using fuzzy ant colony optimization for diagnosis of diabetes disease, Proceedings of ICEE 2010, May 11-13, 501-505.
    • (2010) Proceedings of ICEE 2010, May 11-13 , pp. 501-505
    • Ganji, M.F.1    Abadeh, M.S.2
  • 12
    • 33645970704 scopus 로고    scopus 로고
    • Inverted hierarchical neuro-fuzzy BSP system: A novel neuro-fuzzy model for pattern classification and rule extraction in databases
    • GONÇALVES, L.B., et al. (2006) Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databases, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 36, 236-248.
    • (2006) IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews , vol.36 , pp. 236-248
    • Gonc¸alves, L.B.1
  • 19
    • 38549130585 scopus 로고    scopus 로고
    • Data mining the PIMA dataset using rough set theory with a special emphasis on rule reduction
    • KHAN, A., K. REVETT (2004) Data mining the PIMA dataset using rough set theory with a special emphasis on rule reduction, INMIC 2004, 334-339.
    • (2004) INMIC 2004 , pp. 334-339
    • Khan, A.1    Revett, K.2
  • 20
    • 77957103583 scopus 로고    scopus 로고
    • Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
    • LEKKAS, S., L. MIKHAILOV (2010) Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases, Artificial Intelligence in Medicine, 50, 117-126.
    • (2010) Artificial Intelligence in Medicine , vol.50 , pp. 117-126
    • Lekkas, S.1    Mikhailov, L.2
  • 24
  • 27
    • 79960368791 scopus 로고    scopus 로고
    • An improved fuzzy c-means clustering algorithm based on PSO
    • NIU, Q., X. HUANG (2011) An improved fuzzy c-means clustering algorithm based on PSO, Journal of Software, 6, 873-879.
    • (2011) Journal of Software , vol.6 , pp. 873-879
    • Niu, Q.1    Huang, X.2
  • 28
    • 84871428818 scopus 로고    scopus 로고
    • Improving classifi cation in Bayesian networks using structural learning
    • ONG, H.C. (2011) Improving classifi cation in Bayesian networks using structural learning, World Academy of Science, Engineering and Technology, 75, 1407-1411.
    • (2011) World Academy of Science, Engineering and Technology , vol.75 , pp. 1407-1411
    • Ong, H.C.1
  • 32
    • 34249317613 scopus 로고    scopus 로고
    • Breast cancer diagnosis using least square support vector machine
    • POLAT, K., S. GÜNEŞ (2007a) Breast cancer diagnosis using least square support vector machine, Digital Signal Processing, 17, 694-701.
    • (2007) Digital Signal Processing , vol.17 , pp. 694-701
    • Polat, K.1    Güneş, S.2
  • 33
    • 34249285900 scopus 로고    scopus 로고
    • An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease
    • POLAT, K., S. GÜNEŞ (2007b) An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease, Digital Signal Processing, 17, 702-710.
    • (2007) Digital Signal Processing , vol.17 , pp. 702-710
    • Polat, K.1    Güneş, S.2
  • 34
    • 57349181767 scopus 로고    scopus 로고
    • Feature selection and classifi cation of breast cancer diagnosis based on support vector machines
    • PURNAMI, S.W., S.P. RAHAYU, A. EMBONG (2008) Feature selection and classifi cation of breast cancer diagnosis based on support vector machines, Information Technology, 1-6.
    • (2008) Information Technology , pp. 1-6
    • Purnami, S.W.1    Rahayu, S.P.2    Embong, A.3
  • 37
    • 33846014233 scopus 로고    scopus 로고
    • A new hybrid method based on fuzzy-artificial immune system and k-NN algorithm for breast cancer diagnosis
    • ŞAHAN, S., K. POLAT, H. KODAZ, S. GÜNEŞ (2007) A new hybrid method based on fuzzy-artificial immune system and k-NN algorithm for breast cancer diagnosis, Computers in Biology and Medicine, 37, 415-423.
    • (2007) Computers in Biology and Medicine , vol.37 , pp. 415-423
    • Şahan, S.1    Polat, K.2    Kodaz, H.3    Güneş, S.4
  • 39
    • 60349107274 scopus 로고    scopus 로고
    • A comparative study on diabetes disease diagnosis using neural networks
    • TEMURTAS, H., N. YUMUSAK, F. TEMURTAS (2009) A comparative study on diabetes disease diagnosis using neural networks, Expert Systems with Applications, 36, 8610-8615.
    • (2009) Expert Systems with Applications , vol.36 , pp. 8610-8615
    • Temurtas, H.1    Yumusak, N.2    Temurtas, F.3
  • 40
    • 33947653184 scopus 로고    scopus 로고
    • Implementing automated diagnostic systems for breast cancer detection
    • ÜBEYLI, E.D. (2007) Implementing automated diagnostic systems for breast cancer detection, Expert Systems with Applications, 33, 1054-1062.
    • (2007) Expert Systems with Applications , vol.33 , pp. 1054-1062
    • Übeyli, E.D.1
  • 41
    • 67650653722 scopus 로고    scopus 로고
    • Modified mixture of experts for diabetes diagnosis
    • ÜBEYLI, E.D. (2009) Modified mixture of experts for diabetes diagnosis, Journal of Medical Systems, 33, 299-305.
    • (2009) Journal of Medical Systems , vol.33 , pp. 299-305
    • Übeyli, E.D.1
  • 42
    • 79952757441 scopus 로고    scopus 로고
    • Automatic detection of breast cancers in mammograms using structured support vector machines
    • WANG, D., L. SHI, P.A. HENG (2009) Automatic detection of breast cancers in mammograms using structured support vector machines, Neurocomputing, 72, 3296-3302.
    • (2009) Neurocomputing , vol.72 , pp. 3296-3302
    • Wang, D.1    Shi, L.2    Heng, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.