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Volumn 39, Issue 16, 2012, Pages 12371-12377

Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer

Author keywords

Breast cancer; Computational intelligence; Image data; Microarray data; SMO; SMOTE

Indexed keywords

BREAST CANCER; IMAGE DATA; MICROARRAY DATA; SMO; SMOTE;

EID: 84864452005     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.04.045     Document Type: Article
Times cited : (45)

References (82)
  • 1
    • 79959602852 scopus 로고    scopus 로고
    • ACS Accessed 12.12.10
    • ACS (2010). How many women get breast cancer? http://www.cancer.org/ Cancer/BreastCancer/OverviewGuide/breast-cancer-overview-key-statistics Accessed 12.12.10.
    • (2010) How Many Women Get Breast Cancer?
  • 5
    • 84864466697 scopus 로고    scopus 로고
    • BCOSU Accessed 04.03.11
    • BCOSU. (2011). What Is Breast Cancer? http://www.breastcancer.org/ symptoms/understand-bc/what-is-bc.jsp Accessed 04.03.11.
    • (2011) What Is Breast Cancer?
  • 6
    • 84864495003 scopus 로고    scopus 로고
    • BCW Accessed 13.12.10
    • BCW (2008). breast-cancer-wisconsin http://archive.ics.uci.edu/ml/ datasets/Breast+Cancer+Wisconsin+%28Original%29 Accessed 13.12.10.
    • (2008) Breast-cancer-wisconsin
  • 7
    • 61349092970 scopus 로고    scopus 로고
    • Year. Obesity in post menopausal women with a family history of breast cancer: Prevalence and risk awareness
    • Begum, P.; Richardson, C.; Carmichael, A. (2009) Year. Obesity in post menopausal women with a family history of breast cancer: prevalence and risk awareness. In. International Seminars in Surgical Oncology (pp. 1-6).
    • (2009) International Seminars in Surgical Oncology , pp. 1-6
    • Begum, P.1    Richardson, C.2    Carmichael, A.3
  • 8
    • 0034598831 scopus 로고    scopus 로고
    • Cancer: Gene expression in diagnosis
    • A. Berns Cancer: Gene expression in diagnosis Nature 403 2000 491 492
    • (2000) Nature , vol.403 , pp. 491-492
    • Berns, A.1
  • 11
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • A. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recognition 30 1997 1145 1159
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.1
  • 13
    • 75149159186 scopus 로고    scopus 로고
    • Obesity and breast cancer: Progress to understanding the relationship
    • K. Brown, and E. Simpson Obesity and breast cancer: progress to understanding the relationship Cancer Research 70 2010 4 7
    • (2010) Cancer Research , vol.70 , pp. 4-7
    • Brown, K.1    Simpson, E.2
  • 14
    • 46049089154 scopus 로고    scopus 로고
    • CAARS Accessed 18.09.10
    • CAARS. (2010). Breast cancer. http://www.cancerwa.asn.au/resources/ specific-cancers/breast-cancer Accessed 18.09.10.
    • (2010) Breast Cancer
  • 17
    • 33144490480 scopus 로고    scopus 로고
    • A GAs based approach for mining breast cancer pattern
    • T.-C. Chen, and T.-C. Hsu A GAs based approach for mining breast cancer pattern Expert Systems with Applications 30 2006 674 681
    • (2006) Expert Systems with Applications , vol.30 , pp. 674-681
    • Chen, T.-C.1    Hsu, T.-C.2
  • 18
    • 84855888449 scopus 로고    scopus 로고
    • The improvement of breast cancer prognosis accuracy from integrated gene expression and clinical data
    • A.H. Chen, and C. Yang The improvement of breast cancer prognosis accuracy from integrated gene expression and clinical data Expert Systems with Applications 39 2012 4785 4795
    • (2012) Expert Systems with Applications , vol.39 , pp. 4785-4795
    • Chen, A.H.1    Yang, C.2
  • 20
    • 57749088774 scopus 로고    scopus 로고
    • The application of ant colony optimization for gene selection in microarray-based cancer classification
    • Chiang, Y.-M.; Chiang, H.-M.; Lin, S.-Y. (2008). The application of ant colony optimization for gene selection in microarray-based cancer classification. In International conference on machine learning and cybernetics (Vol. 7, pp.4001- 4006).
    • (2008) International Conference on Machine Learning and Cybernetics , vol.7 , pp. 4001-4006
    • Chiang, Y.-M.1    Chiang, H.-M.2    Lin, S.-Y.3
  • 21
    • 77952243622 scopus 로고    scopus 로고
    • Prolonged breastfeeding reduces risk of breast cancer in Sri Lankan women: A case-control study
    • M. de Silva, U. Senarath, M. Gunatilake, and D. Lokuhetty Prolonged breastfeeding reduces risk of breast cancer in Sri Lankan women: A case-control study Cancer Epidemiology 34 2010 267 273
    • (2010) Cancer Epidemiology , vol.34 , pp. 267-273
    • De Silva, M.1    Senarath, U.2    Gunatilake, M.3    Lokuhetty, D.4
  • 25
    • 64049106891 scopus 로고    scopus 로고
    • A sequential feature extraction approach for naïve bayes classification of microarray data
    • L. Fan, K.-L. Poh, and P. Zhou A sequential feature extraction approach for naïve bayes classification of microarray data Expert Systems with Applications 36 2009 9919 9923
    • (2009) Expert Systems with Applications , vol.36 , pp. 9919-9923
    • Fan, L.1    Poh, K.-L.2    Zhou, P.3
  • 29
    • 84864432659 scopus 로고    scopus 로고
    • Healthi Accessed 12.12.10
    • Healthi. (2010). Treatments for Breast Cancer. http://www.healthinsite. gov.au/topics/Treatments-for-Breast-Cancer Accessed 12.12.10.
    • (2010) Treatments for Breast Cancer
  • 30
    • 84864450569 scopus 로고    scopus 로고
    • IBC Accessed 10.12.10
    • IBC (2010). Breast image. http://www.ibchelp.org/pictures.html Accessed 10.12.10.
    • (2010) Breast Image
  • 32
    • 79151475545 scopus 로고    scopus 로고
    • Expert system based on neuro-fuzzy rules for diagnosis breast cancer
    • A. Keleş, and U. Yavuz Expert system based on neuro-fuzzy rules for diagnosis breast cancer Expert Systems with Applications 38 2011 5719 5726
    • (2011) Expert Systems with Applications , vol.38 , pp. 5719-5726
    • Keleş, A.1    Yavuz, U.2
  • 33
    • 0038729565 scopus 로고    scopus 로고
    • Classification of multiple cancer types by mulitcategory support vector machines using gene expression data
    • Y. Lee, and C.K. Lee Classification of multiple cancer types by mulitcategory support vector machines using gene expression data Bioinformatics 19 2003 1132 1139
    • (2003) Bioinformatics , vol.19 , pp. 1132-1139
    • Lee, Y.1    Lee, C.K.2
  • 37
    • 0037623370 scopus 로고    scopus 로고
    • Cancer classification using gene expression data
    • Y. Lu, and J. Han Cancer classification using gene expression data Information Systems 28 2003 243 268
    • (2003) Information Systems , vol.28 , pp. 243-268
    • Lu, Y.1    Han, J.2
  • 39
  • 41
    • 84864452664 scopus 로고    scopus 로고
    • MITCGI Accessed 10.12.08
    • MITCGI. (2008). Cancer datasets. http://www.broad.mit.edu/cgi-bin/cancer/ datasets.cgi Accessed 10.12.08.
    • (2008) Cancer Datasets
  • 42
    • 84857603467 scopus 로고    scopus 로고
    • A prognostic gene expression profile that predicts circulating tumor cell presence in breast cancer patients
    • T.J. Molloy, P. Roepman, B. Naume, and L.J. Van't Veer A prognostic gene expression profile that predicts circulating tumor cell presence in breast cancer patients PLoS ONE 7 2012 e32426
    • (2012) PLoS ONE , vol.7 , pp. 32426
    • Molloy, T.J.1    Roepman, P.2    Naume, B.3    Van'T Veer, L.J.4
  • 43
    • 84864475060 scopus 로고    scopus 로고
    • Isolated colonic metastasis from primary invasive ductal breast carcinoma: Role of tumor marker in early diagnosis
    • S. Murukutla, A. Vivekanandaraja, K. Paramanathan, F. Kong, and S. Varma Isolated colonic metastasis from primary invasive ductal breast carcinoma: role of tumor marker in early diagnosis Journal of Medical Cases 3 2012 49 53
    • (2012) Journal of Medical Cases , vol.3 , pp. 49-53
    • Murukutla, S.1    Vivekanandaraja, A.2    Paramanathan, K.3    Kong, F.4    Varma, S.5
  • 44
    • 38449123027 scopus 로고    scopus 로고
    • Microarray data classification using automatic SVM kernel selection
    • J. Nahar, S. Ali, and Y.P.P. Chen Microarray data classification using automatic SVM kernel selection DNA and Cell Biology 26 2007 707 712
    • (2007) DNA and Cell Biology , vol.26 , pp. 707-712
    • Nahar, J.1    Ali, S.2    Chen, Y.P.P.3
  • 45
    • 72849114593 scopus 로고    scopus 로고
    • Year. Early breast cancer identification: Which way to go? Microarray or image based computer aided diagnosis!
    • Nahar, J.; Tickle, K. S.; Ali, A. B. M. S.; Chen, Y. P. P. (2009). Year. Early breast cancer identification: Which way to go? Microarray or image based computer aided diagnosis! In IEEE (pp. 456-461).
    • (2009) IEEE , pp. 456-461
    • Nahar, J.1    Tickle, K.S.2    Ali, A.B.M.S.3    Chen, Y.P.P.4
  • 46
    • 19344365337 scopus 로고    scopus 로고
    • Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods
    • T.W. Nattkemper, B. Arnrich, O. Lichte, W. Timm, A. Degenhard, and L. Pointon Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods Artificial Intelligence in Medicine 34 2005 129 139
    • (2005) Artificial Intelligence in Medicine , vol.34 , pp. 129-139
    • Nattkemper, T.W.1    Arnrich, B.2    Lichte, O.3    Timm, W.4    Degenhard, A.5    Pointon, L.6
  • 47
    • 84864431487 scopus 로고    scopus 로고
    • NCI Accessed 12.03.10
    • NCI. (2010). Breast Cancer Treatment http://www.cancer.gov/cancertopics/ pdq/treatment/breast/Patient Accessed 12.03.10.
    • (2010) Breast Cancer Treatment
  • 48
    • 33745834241 scopus 로고    scopus 로고
    • Irvine, CA:California: University of California, Department of Information and Computer Science. Accessed 05.12.10
    • Newman, D. J.; Hettich, S.; Blake, C. L.; Merz, C. J. (1998). Repository of machine learning databases. Irvine, CA:California: University of California, Department of Information and Computer Science. http://www.ics.uci.edu/~mlearn/ MLRepository.html Accessed 05.12.10.
    • (1998) Repository of Machine Learning Databases
    • Newman, D.J.1    Hettich, S.2    Blake, C.L.3    Merz, C.J.4
  • 51
    • 36248940832 scopus 로고    scopus 로고
    • Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research
    • L.E. Peterson, and M.A. Coleman Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research International Journal of Approximate Reasoning 47 2008 17 36
    • (2008) International Journal of Approximate Reasoning , vol.47 , pp. 17-36
    • Peterson, L.E.1    Coleman, M.A.2
  • 52
    • 84855474818 scopus 로고    scopus 로고
    • Year. instrumental relating and treatment decision making among older women with early-stage breast cancer
    • Pieters, H. C.; Heilemann, M. S. V.; Maliski, S.; Dornig, K.; Mentes, J. (2012). Year. instrumental relating and treatment decision making among older women with early-stage breast cancer. In, 2012. Onc Nurs Society (pp. 10-19).
    • (2012) 2012. Onc Nurs Society , pp. 10-19
    • Pieters, H.C.1    Heilemann, M.S.V.2    Maliski, S.3    Dornig, K.4    Mentes, J.5
  • 53
  • 54
    • 19044393722 scopus 로고    scopus 로고
    • Motor imagery classification by means of source analysis for brain-computer interface applications
    • L. Qin, L. Ding, and B. He Motor imagery classification by means of source analysis for brain-computer interface applications Journal of Neural Engineering 1 2004 135 141
    • (2004) Journal of Neural Engineering , vol.1 , pp. 135-141
    • Qin, L.1    Ding, L.2    He, B.3
  • 55
    • 48149108189 scopus 로고    scopus 로고
    • Gene selection and classification using non-linear kernel support vector machines based on gene expression data. CME 2007
    • Qizhong, Z. (2007). Gene selection and classification using non-linear kernel support vector machines based on gene expression data. CME 2007. In IEEE/ICME international conference on complex medical, engineering (pp. 1606-1611).
    • (2007) IEEE/ICME International Conference on Complex Medical, Engineering , pp. 1606-1611
    • Qizhong, Z.1
  • 56
    • 33947534595 scopus 로고    scopus 로고
    • A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs
    • R.M. Rangayyan, F.J. Ayres, and J.E.L. Desautels A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs Journal of the Franklin Institute 344 2007 312 348
    • (2007) Journal of the Franklin Institute , vol.344 , pp. 312-348
    • Rangayyan, R.M.1    Ayres, F.J.2    Desautels, J.E.L.3
  • 61
    • 45349093967 scopus 로고    scopus 로고
    • Cancer classification by gradient LDA technique using microarray gene expression data
    • A. Sharma, and K.K. Paliwal Cancer classification by gradient LDA technique using microarray gene expression data Data & Knowledge Engineering 66 2008 338 347
    • (2008) Data & Knowledge Engineering , vol.66 , pp. 338-347
    • Sharma, A.1    Paliwal, K.K.2
  • 63
    • 33845329825 scopus 로고    scopus 로고
    • Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms
    • H.S. Sheshadri, and A. Kandaswamy Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms Computerized Medical Imaging and Graphics 31 2007 46 48
    • (2007) Computerized Medical Imaging and Graphics , vol.31 , pp. 46-48
    • Sheshadri, H.S.1    Kandaswamy, A.2
  • 67
    • 33847777002 scopus 로고    scopus 로고
    • A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure
    • T. Tan, C. Quek, G. Ng, and E. Ng A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure Expert Systems with Applications 33 2007 652 666
    • (2007) Expert Systems with Applications , vol.33 , pp. 652-666
    • Tan, T.1    Quek, C.2    Ng, G.3    Ng, E.4
  • 68
    • 0023768390 scopus 로고    scopus 로고
    • Risk factors for breast cancer in Chinese women of Beijing
    • S. Tao, M. Yu, R. Ross, and K. Xiu Risk factors for breast cancer in Chinese women of Beijing International Journal of Cancer 42 2006 495 498
    • (2006) International Journal of Cancer , vol.42 , pp. 495-498
    • Tao, S.1    Yu, M.2    Ross, R.3    Xiu, K.4
  • 70
    • 77954955727 scopus 로고    scopus 로고
    • Micrometastatic node-positive breast cancer: Long-term outcomes and identification of high-risk subsets in a large population-based series
    • P.T. Truong, M. Lesperance, K.H. Li, R. Macfarlane, C.H. Speers, and S. Chia Micrometastatic node-positive breast cancer: long-term outcomes and identification of high-risk subsets in a large population-based series Annals of Surgical Oncology 17 2010 2138 2146
    • (2010) Annals of Surgical Oncology , vol.17 , pp. 2138-2146
    • Truong, P.T.1    Lesperance, M.2    Li, K.H.3    MacFarlane, R.4    Speers, C.H.5    Chia, S.6
  • 72
    • 84898937307 scopus 로고    scopus 로고
    • Support vector method for multivariate density estimation
    • S.A. Solla, T.K. Leen, K.-R. Müller, MIT Press Cambridge, MA
    • V.N. Vapnik, and S. Mukherjee Support vector method for multivariate density estimation S.A. Solla, T.K. Leen, K.-R. Müller, Advances in neural information processing systems Vol. 12 2000 MIT Press Cambridge, MA 59 665
    • (2000) Advances in Neural Information Processing Systems , vol.12 VOL. , pp. 59-665
    • Vapnik, V.N.1    Mukherjee, S.2
  • 73
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • L.J.V. Veer, H. Dai, M.J.V.D. Vijver, Y.D. He, A.A.M. Hart, and M. Mao Gene expression profiling predicts clinical outcome of breast cancer Nature 415 2002 530 536
    • (2002) Nature , vol.415 , pp. 530-536
    • Veer, L.J.V.1    Dai, H.2    Vijver, M.J.V.D.3    He, Y.D.4    Hart, A.A.M.5    Mao, M.6
  • 74
    • 80053171960 scopus 로고    scopus 로고
    • A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis
    • D.Y. Wang, S.J. Done, D.R. McCready, S. Boerner, S. Kulkarni, and W.L. Leong A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis Breast Cancer Research 13 2011 R92
    • (2011) Breast Cancer Research , vol.13 , pp. 92
    • Wang, D.Y.1    Done, S.J.2    McCready, D.R.3    Boerner, S.4    Kulkarni, S.5    Leong, W.L.6
  • 76
    • 77958057198 scopus 로고    scopus 로고
    • Integrating tools for breast cancer risk assessment, risk reduction, and early detection
    • E.M. Ward, and R.A. Smith Integrating tools for breast cancer risk assessment, risk reduction, and early detection Cancer Epidemiology Biomarkers & Prevention 19 2010 2428 2429
    • (2010) Cancer Epidemiology Biomarkers & Prevention , vol.19 , pp. 2428-2429
    • Ward, E.M.1    Smith, R.A.2
  • 79
    • 37849021093 scopus 로고    scopus 로고
    • Constructing the gene regulation-level representation of microarray data for cancer classification
    • H.-S. Wong, and H.-Q. Wang Constructing the gene regulation-level representation of microarray data for cancer classification Journal of Biomedical Informatics 41 2008 10 95
    • (2008) Journal of Biomedical Informatics , vol.41 , pp. 10-95
    • Wong, H.-S.1    Wang, H.-Q.2
  • 80
    • 77449116626 scopus 로고    scopus 로고
    • Plasma sex hormone concentrations and breast cancer risk in an ethnically diverse population of postmenopausal women: The multiethnic cohort study
    • C. Woolcott, Y. Shvetsov, F. Stanczyk, L. Wilkens, K. White, and C. Caberto Plasma sex hormone concentrations and breast cancer risk in an ethnically diverse population of postmenopausal women: The multiethnic cohort study Endocrine-Related Cancer 17 2010 125 134
    • (2010) Endocrine-Related Cancer , vol.17 , pp. 125-134
    • Woolcott, C.1    Shvetsov, Y.2    Stanczyk, F.3    Wilkens, L.4    White, K.5    Caberto, C.6


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