메뉴 건너뛰기




Volumn 9789400758247, Issue , 2013, Pages 1-265

Machine learning in medicine

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLINICAL RESEARCH; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; MARKETING;

EID: 84933052803     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-007-5824-7     Document Type: Book
Times cited : (41)

References (182)
  • 4
    • 34249737013 scopus 로고    scopus 로고
    • Reflections on autocorrelations
    • Getis A (2007) Reflections on autocorrelations. Reg Sci Urban Econ J 37:491-496
    • (2007) Reg Sci Urban Econ J , vol.37 , pp. 491-496
    • Getis, A.1
  • 6
    • 0842346844 scopus 로고    scopus 로고
    • Seasonal variation of dermatologic disease in the USA: A study of office visits from 1990 to 1998
    • Hancox JG, Sheridan SC, Feldman SR, Fleischer AB (2004) Seasonal variation of dermatologic disease in the USA: a study of office visits from 1990 to 1998. Int J Dermatol 43:8-11
    • (2004) Int J Dermatol , vol.43 , pp. 8-11
    • Hancox, J.G.1    Sheridan, S.C.2    Feldman, S.R.3    Fleischer, A.B.4
  • 7
    • 84885866263 scopus 로고    scopus 로고
    • Winter seasonal affective disorder: A global biocultural perspective
    • Accessed 18 Dec. 2012
    • Whitehead BS (2004) Winter seasonal affective disorder: a global biocultural perspective. ANT (Actor-Network Theory), 570. Accessed 18 Dec. 2012
    • (2004) ANT (Actor-Network Theory) , pp. 570
    • Whitehead, B.S.1
  • 8
    • 43449093171 scopus 로고    scopus 로고
    • The effects of season at time of birth on asthma and pneumonia and adulthood in a birth cohort in southern Brazil
    • Gonzalez DA, Victora CG, Goncalves H (2008) The effects of season at time of birth on asthma and pneumonia and adulthood in a birth cohort in southern Brazil. Cad Saude Publica 24:1089-1102
    • (2008) Cad Saude Publica , vol.24 , pp. 1089-1102
    • Gonzalez, D.A.1    Victora, C.G.2    Goncalves, H.3
  • 9
    • 2342636312 scopus 로고    scopus 로고
    • An examination of seasonality experienced by Australians living in a continental temperate climate zone
    • Parslow RA, Jorm AF, Butterworth P, Jacomb PA, Rodgers B (2004) An examination of seasonality experienced by Australians living in a continental temperate climate zone. J Affect Disord 80:181-190
    • (2004) J Affect Disord , vol.80 , pp. 181-190
    • Parslow, R.A.1    Jorm, A.F.2    Butterworth, P.3    Jacomb, P.A.4    Rodgers, B.5
  • 10
    • 29144451331 scopus 로고    scopus 로고
    • Seasonal variations of selected cardiovascular risk factors
    • Kelly GS (2005) Seasonal variations of selected cardiovascular risk factors. Altern Med Rev 10:307-320
    • (2005) Altern Med Rev , vol.10 , pp. 307-320
    • Kelly, G.S.1
  • 11
    • 33344468708 scopus 로고    scopus 로고
    • Seasonal variation of C-reactive protein in apparently healthy Koreans
    • Sung KC (2006) Seasonal variation of C-reactive protein in apparently healthy Koreans. Int J Cardiol 107:338-342
    • (2006) Int J Cardiol , vol.107 , pp. 338-342
    • Sung, K.C.1
  • 12
    • 33847307630 scopus 로고    scopus 로고
    • Diurnal seasonal and blood processing patterns in levels of circulating fibrinogen, fibrin D-dimer, C-reactive protein, tissue plasminogen activator, and von Willebrand factor in a 45 year old population
    • Rudnick AR, Rumley A, Lowe GD, Strachan DP (2007) Diurnal seasonal and blood processing patterns in levels of circulating fibrinogen, fibrin D-dimer, C-reactive protein, tissue plasminogen activator, and von Willebrand factor in a 45 year old population. Circulation 115:996-1003
    • (2007) Circulation , vol.115 , pp. 996-1003
    • Rudnick, A.R.1    Rumley, A.2    Lowe, G.D.3    Strachan, D.P.4
  • 13
    • 34249742034 scopus 로고    scopus 로고
    • Seasonality of infectious diseases
    • Fishman DN (2007) Seasonality of infectious diseases. Annu Rev Public Health 28:127-143
    • (2007) Annu Rev Public Health , vol.28 , pp. 127-143
    • Fishman, D.N.1
  • 17
    • 84933062288 scopus 로고    scopus 로고
    • Accessed 28 Feb. 2012
    • SPSS Statistical Software (2012) www.spss.com. Accessed 28 Feb. 2012
    • (2012)
    • SPSS Statistical Software1
  • 20
    • 84867811255 scopus 로고    scopus 로고
    • Hirata MH Uric acid biorhythm, a feature of longterm variation in a clinical database
    • Published Online 02/03/2012
    • De Andrade D, Hirata R DC, Sandrini F, Largura A, Hirata MH Uric acid biorhythm, a feature of longterm variation in a clinical database. Clin Chem Lab Med. doi:10.1515/cclm-2011-0150. Published Online 02/03/2012
    • Clin Chem Lab Med
    • De Andrade, D.1    Hirata, R.D.C.2    Sandrini, F.3    Largura, A.4
  • 21
    • 84915555681 scopus 로고
    • Multi-variable curve interpolation
    • Ferguson JC (1964) Multi-variable curve interpolation. JACM 11:221-228
    • (1964) JACM , vol.11 , pp. 221-228
    • Ferguson, J.C.1
  • 26
    • 84933062293 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Box-Cox normality plot. http://itl.nist.gov/div898/handbook/eda/section3/eda336.htm. Accessed 18 Dec. 2012
    • Box-Cox normality plot1
  • 30
    • 84928864516 scopus 로고    scopus 로고
    • Regression analysis with Laplace transformations
    • 4th edn. Springer, Dordrecht, pp 213-216
    • Cleophas TJ, Zwinderman AH (2009) Regression analysis with Laplace transformations. In: Statistics applied to clinical trials, 4th edn. Springer, Dordrecht, pp 213-216
    • (2009) Statistics Applied to Clinical Trials
    • Cleophas, T.J.1    Zwinderman, A.H.2
  • 31
    • 0020958779 scopus 로고
    • Evaluation of methods for estimation of population pharmacokinetic parameters
    • Sheiner LB, Beal SL (1983) Evaluation of methods for estimation of population pharmacokinetic parameters. J Pharmacokinet Pharmacodyn 11:303-319
    • (1983) J Pharmacokinet Pharmacodyn , vol.11 , pp. 303-319
    • Sheiner, L.B.1    Beal, S.L.2
  • 32
    • 84933062297 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Cubic Spline for Excel. www.srs1software.com/download.htm#pline. Accessed 18 Dec. 2012
    • Cubic Spline for Excel1
  • 33
    • 84933062298 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Lambda-calculus. http://en. wikipedia.org/wiki/lambda-calculus. Accessed 18 Dec. 2012
    • Lambda-calculus1
  • 35
    • 84933062299 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Generalized additive model. http://en. wikipedia.org/wiki/generalized-additive-model. Accessed 18 Dec. 2012
    • Generalized additive model1
  • 36
    • 84933062300 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Local regression. http://en. wikidepia.org/wiki/Local-regression. Accessed 18 Dec. 2012
    • Local regression1
  • 37
    • 84933062301 scopus 로고    scopus 로고
    • Accessed 18 Dec. 2012
    • Akaike information criterion. http://en. wikipedia.org/wiki/Akaike-information-criterion. Accessed 18 Dec. 2012
    • Akaike information criterion1
  • 38
    • 84933062302 scopus 로고    scopus 로고
    • WWW.SPSS.COM
  • 40
    • 1842508084 scopus 로고    scopus 로고
    • Work of Warren McCulloch
    • Andrew AM (2004) Work of Warren McCulloch. Kybernetes 33:141-146
    • (2004) Kybernetes , vol.33 , pp. 141-146
    • Andrew, A.M.1
  • 42
    • 0010595696 scopus 로고
    • Technical report Massachusetts Institute of Technology, AIM-306, Cambridge, MA, USA
    • Minsky MA (1974) Framework for representing knowledge. Technical report Massachusetts Institute of Technology, AIM-306, Cambridge, MA, USA
    • (1974) Framework for Representing Knowledge
    • Minsky, M.A.1
  • 43
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumbelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323:533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumbelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 47
    • 0031951286 scopus 로고    scopus 로고
    • Neural networks assisted analysis and microscopic rescreening in presumed negative cervical cytologic smears
    • Mango LJ, Valente PT (1998) Neural networks assisted analysis and microscopic rescreening in presumed negative cervical cytologic smears. Acta Cytol 42:227-232
    • (1998) Acta Cytol , vol.42 , pp. 227-232
    • Mango, L.J.1    Valente, P.T.2
  • 49
    • 0033599724 scopus 로고    scopus 로고
    • Assessment of automated primary screening on PAPNET of cervical smears in the PRISMATIC trial
    • Prismatic Project Management Team (1999) Assessment of automated primary screening on PAPNET of cervical smears in the PRISMATIC trial. Lancet 353:1381-1385
    • (1999) Lancet , vol.353 , pp. 1381-1385
    • Prismatic Project Management Team1
  • 51
    • 0033999380 scopus 로고    scopus 로고
    • Use of artificial neural networks in the clinical staging of prostate cancer
    • Gamito EJ, Stone NN, Batuello JT, Crawford ED (2000) Use of artificial neural networks in the clinical staging of prostate cancer. Tech Urol 6:60-63
    • (2000) Tech Urol , vol.6 , pp. 60-63
    • Gamito, E.J.1    Stone, N.N.2    Batuello, J.T.3    Crawford, E.D.4
  • 53
    • 0030221394 scopus 로고    scopus 로고
    • Neural network analysis of flow cytometry immunophenotype data
    • Kothari R, Cualing H, Balachander T (1996) Neural network analysis of flow cytometry immunophenotype data. IEEE Biomed Eng 43:803-810
    • (1996) IEEE Biomed Eng , vol.43 , pp. 803-810
    • Kothari, R.1    Cualing, H.2    Balachander, T.3
  • 54
    • 0032411188 scopus 로고    scopus 로고
    • Hybrid artifiucial neural network segmentation and classification of dynamic contrast enhanced MR imaging of osteosarcoma
    • Glas JO, Reddick WE (1998) Hybrid artifiucial neural network segmentation and classification of dynamic contrast enhanced MR imaging of osteosarcoma. Magn Reson Imaging 16:1075-1083
    • (1998) Magn Reson Imaging , vol.16 , pp. 1075-1083
    • Glas, J.O.1    Reddick, W.E.2
  • 55
    • 0032076928 scopus 로고    scopus 로고
    • Artificial neural networks of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neck
    • Bryce TJ, Dewhirst MW, Floyd CE, Hars V, Brizel DM (1998) Artificial neural networks of survival in patients treated with irradiation with and without concurrent chemotherapy for advanced carcinoma of the head and neck. Int J Radiat Oncol Biol Phys 41:339-345
    • (1998) Int J Radiat Oncol Biol Phys , vol.41 , pp. 339-345
    • Bryce, T.J.1    Dewhirst, M.W.2    Floyd, C.E.3    Hars, V.4    Brizel, D.M.5
  • 60
    • 15244347342 scopus 로고    scopus 로고
    • Comparison of artificial neural network and regression models for prediction of mortality in head trauma based on clinical data
    • Eftekbar B, Mohammad K, Ardebilli HE, Ghodsi M, Ketabchi E (2005) Comparison of artificial neural network and regression models for prediction of mortality in head trauma based on clinical data. BMC Med Inf Decis Mak 5:3-9
    • (2005) BMC Med Inf Decis Mak , vol.5 , pp. 3-9
    • Eftekbar, B.1    Mohammad, K.2    Ardebilli, H.E.3    Ghodsi, M.4    Ketabchi, E.5
  • 61
    • 0029383123 scopus 로고
    • A comparison of performance of mathematical predictive methods for medical diagnosis: Identifying acute cardiac ischemia among emergency department patients
    • Selker HP, Griffith JL, Patil S, Long WJ, D'Agostino RB (1995) A comparison of performance of mathematical predictive methods for medical diagnosis: identifying acute cardiac ischemia among emergency department patients. J Investig Med 43:468-476
    • (1995) J Investig Med , vol.43 , pp. 468-476
    • Selker, H.P.1    Griffith, J.L.2    Patil, S.3    Long, W.J.4    D'Agostino, R.B.5
  • 62
    • 0030061822 scopus 로고    scopus 로고
    • Prospective validation of artificial neural network trained to identify acute myocardial infarction
    • Baxt WG, Skora J (1996) Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet 347:12-15
    • (1996) Lancet , vol.347 , pp. 12-15
    • Baxt, W.G.1    Skora, J.2
  • 63
    • 0031311808 scopus 로고    scopus 로고
    • Neural network of biochemical markers for early assessment of acute myocardial infarction
    • Ellenius J, Groth T, Lindahl B (1997) Neural network of biochemical markers for early assessment of acute myocardial infarction. Stud Health Technol Inform 43:382-385
    • (1997) Stud Health Technol Inform , vol.43 , pp. 382-385
    • Ellenius, J.1    Groth, T.2    Lindahl, B.3
  • 64
    • 0031239344 scopus 로고    scopus 로고
    • Identifying coronary stenosis using an image recognition neural network
    • Goodenday LS, Cios KJ, Shin L (1997) Identifying coronary stenosis using an image recognition neural network. IEEE Eng Med Bio Mag 16:139-144
    • (1997) IEEE Eng Med Bio Mag , vol.16 , pp. 139-144
    • Goodenday, L.S.1    Cios, K.J.2    Shin, L.3
  • 65
    • 0030828815 scopus 로고    scopus 로고
    • Using automated analysis of resting twelve lead ECG to identify patients at risk of developing transient myocardial ischaemia
    • Polak MJ, Zhou SH, Rautaharju PM, Armstrong WW, Chaitman BR (1997) Using automated analysis of resting twelve lead ECG to identify patients at risk of developing transient myocardial ischaemia. Physiol Meas 18:317-325
    • (1997) Physiol Meas , vol.18 , pp. 317-325
    • Polak, M.J.1    Zhou, S.H.2    Rautaharju, P.M.3    Armstrong, W.W.4    Chaitman, B.R.5
  • 66
    • 0033924437 scopus 로고    scopus 로고
    • Scandinavian test of artificial neural network for classification of myocardial perfusion images
    • Lindahl D, Toft J, Hesse B, Palmer J, Ali S, Lundin A, Edenbrandt L (2000) Scandinavian test of artificial neural network for classification of myocardial perfusion images. Clin Physiol 20:253-261
    • (2000) Clin Physiol , vol.20 , pp. 253-261
    • Lindahl, D.1    Toft, J.2    Hesse, B.3    Palmer, J.4    Ali, S.5    Lundin, A.6    Edenbrandt, L.7
  • 67
    • 84933062304 scopus 로고    scopus 로고
    • Neural network analysis speeds disease risk predictions, innovative clinical models transform cardiovascular assessment algorithms
    • Accessed 18 Dec. 2012
    • Patil N, Smith TJ. Neural network analysis speeds disease risk predictions, innovative clinical models transform cardiovascular assessment algorithms. In: Scientific computing 2009, Rockaway NJ, p 07866. www.scientificcomputing.com. Accessed 18 Dec. 2012
    • Scientific Computing 2009, Rockaway NJ , pp. 07866
    • Patil, N.1    Smith, T.J.2
  • 68
    • 0032843265 scopus 로고    scopus 로고
    • Neural networks for the biochemical prediction of bone mass
    • Queralto JM, Torres J, Guinot M (1999) Neural networks for the biochemical prediction of bone mass. Clin Chem Lab Med 37:831-838
    • (1999) Clin Chem Lab Med , vol.37 , pp. 831-838
    • Queralto, J.M.1    Torres, J.2    Guinot, M.3
  • 70
    • 0014998720 scopus 로고
    • Human surface area: Comparison of the du Bois formula with direct photometric measurement
    • Mitchell D, Strydom NB, Van Graan CH, Van Der Walt H (1971) Human surface area: comparison of the du Bois formula with direct photometric measurement. Eur J Physiol 325:188-190
    • (1971) Eur J Physiol , vol.325 , pp. 188-190
    • Mitchell, D.1    Strydom, N.B.2    Van Graan, C.H.3    Van Der Walt, H.4
  • 71
    • 0017864678 scopus 로고
    • Body surface area calculated from the height and weight
    • Haycock GB, Schwarz GJ, Wisotsky DH (1978) Body surface area calculated from the height and weight. J Pediatr 93:62-66
    • (1978) J Pediatr , vol.93 , pp. 62-66
    • Haycock, G.B.1    Schwarz, G.J.2    Wisotsky, D.H.3
  • 73
    • 0028342538 scopus 로고
    • Artificial neural networks for electrocardiographic diagnosis of healed myocardial infarction
    • Heden B, Edenbrandt L, Hasity WK, Pahlm O (1994) Artificial neural networks for electrocardiographic diagnosis of healed myocardial infarction. Am J Cardiol 74:5-8
    • (1994) Am J Cardiol , vol.74 , pp. 5-8
    • Heden, B.1    Edenbrandt, L.2    Hasity, W.K.3    Pahlm, O.4
  • 74
    • 0027849294 scopus 로고
    • Constructive higher order network algorithms that is polynomial time
    • Redding NJ, Kowalczyk A, Downs T (1993) Constructive higher order network algorithms that is polynomial time. Neural Netw 6:997-1010
    • (1993) Neural Netw , vol.6 , pp. 997-1010
    • Redding, N.J.1    Kowalczyk, A.2    Downs, T.3
  • 75
    • 0027313792 scopus 로고
    • Speed up learning and network optimization with extended back propagation
    • Sperduti A, Starita A (1993) Speed up learning and network optimization with extended back propagation. Neural Netw 6:365-383
    • (1993) Neural Netw , vol.6 , pp. 365-383
    • Sperduti, A.1    Starita, A.2
  • 76
    • 0000599779 scopus 로고
    • Hypothesis driven constructive induction in AQ17-HCI: A method and experiments
    • Wnek J, Michalski RS (1994) Hypothesis driven constructive induction in AQ17-HCI: a method and experiments. Mach Learn 14:139-168
    • (1994) Mach Learn , vol.14 , pp. 139-168
    • Wnek, J.1    Michalski, R.S.2
  • 77
    • 76649134331 scopus 로고    scopus 로고
    • From artificial neural network to realistic neural network
    • Springer, New York
    • Lytton WW (2002) From artificial neural network to realistic neural network, Chapter 14. In: From computer to brain. Springer, New York, pp 259-268
    • (2002) From Computer to Brain , pp. 259-268
    • Lytton, W.W.1
  • 78
    • 84968515237 scopus 로고
    • Scattered data interpolation: Tests of some methods
    • Franke R (1982) Scattered data interpolation: tests of some methods. Math Comput 38:181-200
    • (1982) Math Comput , vol.38 , pp. 181-200
    • Franke, R.1
  • 79
    • 0022471098 scopus 로고
    • Learning representations by back propagating errors
    • Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back propagating errors. Nature 323:533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 82
    • 84864437014 scopus 로고    scopus 로고
    • Integrating local and global error statistics for multiscale RBF networks training
    • Accessed 21 Aug. 2012
    • Mountrakis G, Zhuang W (2012) Integrating local and global error statistics for multiscale RBF networks training. PLOS. www.plosone.org/article/info%3A doi%2F10.1371. Accessed 21 Aug. 2012
    • (2012) PLOS
    • Mountrakis, G.1    Zhuang, W.2
  • 83
    • 84911865353 scopus 로고    scopus 로고
    • Application of radial basis network model for HIV/AIDS regimen specifications
    • Balasubramanie P, Florence ML (2009) Application of radial basis network model for HIV/AIDS regimen specifications. J Comput 1:136-140
    • (2009) J Comput , vol.1 , pp. 136-140
    • Balasubramanie, P.1    Florence, M.L.2
  • 85
    • 0001683814 scopus 로고
    • Layered neural networks with Gaussian hidden units as universal approximations
    • Hartman EJ, Keeler JD, Kowalski JM (1990) Layered neural networks with Gaussian hidden units as universal approximations. Neural Comput 2:210-215
    • (1990) Neural Comput , vol.2 , pp. 210-215
    • Hartman, E.J.1    Keeler, J.D.2    Kowalski, J.M.3
  • 86
    • 77949505033 scopus 로고    scopus 로고
    • Rank m-type radial basis function neural network for Pap smear microscopic image classification
    • Gallegos FJ, Gomez ME, Lopez JL, Cruz R (2009) Rank m-type radial basis function neural network for Pap smear microscopic image classification. Apeiron 16:542-554
    • (2009) Apeiron , vol.16 , pp. 542-554
    • Gallegos, F.J.1    Gomez, M.E.2    Lopez, J.L.3    Cruz, R.4
  • 88
    • 76649087003 scopus 로고    scopus 로고
    • Artificial intelligence for diagnostic purposes; principles, procedures, and limitations
    • Cleophas TF, Cleophas TJ (2011) Artificial intelligence for diagnostic purposes; principles, procedures, and limitations. Clin Chem Lab Med 48:159-165
    • (2011) Clin Chem Lab Med , vol.48 , pp. 159-165
    • Cleophas, T.F.1    Cleophas, T.J.2
  • 89
    • 0014998720 scopus 로고
    • Human surface area: Comparison of the du Bois formula with direct photometric measurement
    • Mitchell D, Strydom NB, Van Graan CH, Van Der Walt H (1971) Human surface area: comparison of the du Bois formula with direct photometric measurement. Eur J Physiol 325:188-190
    • (1971) Eur J Physiol , vol.325 , pp. 188-190
    • Mitchell, D.1    Strydom, N.B.2    Van Graan, C.H.3    Van Der Walt, H.4
  • 90
    • 0017864678 scopus 로고
    • Body surface area calculated from the height and weight
    • Haycock GB, Schwarz GJ, Wisotsky DH (1978) Body surface area calculated from the height and weight. J Pediatr 93:62-66
    • (1978) J Pediatr , vol.93 , pp. 62-66
    • Haycock, G.B.1    Schwarz, G.J.2    Wisotsky, D.H.3
  • 92
    • 15244347342 scopus 로고    scopus 로고
    • Comparison of artificial neural network and regression models for prediction of mortality in head trauma based on clinical data
    • Eftekbar B, Mohammad K, Ardebilli HE, Ghodsi M, Ketabchi E (2005) Comparison of artificial neural network and regression models for prediction of mortality in head trauma based on clinical data. BMC Med Inf Decis Mak 5:3-9
    • (2005) BMC Med Inf Decis Mak , vol.5 , pp. 3-9
    • Eftekbar, B.1    Mohammad, K.2    Ardebilli, H.E.3    Ghodsi, M.4    Ketabchi, E.5
  • 93
    • 0030061822 scopus 로고    scopus 로고
    • Prospective validation of artificial neural network trained to identify acute myocardial infarction
    • Baxt WG, Skora J (1996) Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet 347:12-15
    • (1996) Lancet , vol.347 , pp. 12-15
    • Baxt, W.G.1    Skora, J.2
  • 94
    • 0028342538 scopus 로고
    • Artificial neural networks for electrocardiographic diagnosis of healed myocardial infarction
    • Heden B, Edenbrandt L, Hasity WK, Pahlm O (1994) Artificial neural networks for electrocardiographic diagnosis of healed myocardial infarction. Am J Cardiol 74:5-8
    • (1994) Am J Cardiol , vol.74 , pp. 5-8
    • Heden, B.1    Edenbrandt, L.2    Hasity, W.K.3    Pahlm, O.4
  • 95
    • 0027849294 scopus 로고
    • Constructive higher order network algorithms that is polynomial time
    • Redding NJ, Kowalczyk A, Downs T (1993) Constructive higher order network algorithms that is polynomial time. Neural Netw 6:997-1010
    • (1993) Neural Netw , vol.6 , pp. 997-1010
    • Redding, N.J.1    Kowalczyk, A.2    Downs, T.3
  • 96
    • 0027313792 scopus 로고
    • Speed up learning and network optimization with extended back propagation
    • Sperduti A, Starita A (1993) Speed up learning and network optimization with extended back propagation. Neural Netw 6:365-383
    • (1993) Neural Netw , vol.6 , pp. 365-383
    • Sperduti, A.1    Starita, A.2
  • 97
    • 0000599779 scopus 로고
    • Hypothesis driven constructive induction in AQ17-HCI: A method and experiments
    • Wnek J, Michalski RS (1994) Hypothesis driven constructive induction in AQ17-HCI: a method and experiments. Mach Learn 14:139-168
    • (1994) Mach Learn , vol.14 , pp. 139-168
    • Wnek, J.1    Michalski, R.S.2
  • 98
    • 76649134331 scopus 로고    scopus 로고
    • From artificial neural network to realistic neural network, Chapter 14
    • Springer, New York, pp 259-268
    • Lytton WW (2002) From artificial neural network to realistic neural network, Chapter 14. In: From computer to brain. Springer, New York, pp 259-268
    • (2002) From Computer to Brain
    • Lytton, W.W.1
  • 99
    • 85004829927 scopus 로고
    • Spearman and the origin and development of factor analysis
    • Barthelemew DJ (1995) Spearman and the origin and development of factor analysis. Br J Math Stat Psychol 48:211-220
    • (1995) Br J Math Stat Psychol , vol.48 , pp. 211-220
    • Barthelemew, D.J.1
  • 101
    • 84933052357 scopus 로고    scopus 로고
    • Wikipedia, the free encyclopedia, Accessed 25 Apr. 2012
    • Anonymous (2012) Factor analysis. Wikipedia, the free encyclopedia, Accessed 25 Apr. 2012
    • (2012) Factor Analysis
    • Anonymous1
  • 103
    • 33645823677 scopus 로고    scopus 로고
    • A new summarization method for affymetrix probe level data
    • Hochreiter S, Clevert DA, Obermayer K (2006) A new summarization method for affymetrix probe level data. Bioinformatics 22:943-949
    • (2006) Bioinformatics , vol.22 , pp. 943-949
    • Hochreiter, S.1    Clevert, D.A.2    Obermayer, K.3
  • 104
    • 77957734063 scopus 로고    scopus 로고
    • Multifactorial nature of tumor drug resistance
    • Solyanik GI (2010) Multifactorial nature of tumor drug resistance. Exp Oncol 32:181-185
    • (2010) Exp Oncol , vol.32 , pp. 181-185
    • Solyanik, G.I.1
  • 109
    • 0002663098 scopus 로고
    • An optimally efficient algorithm for a single-link cluster method
    • Sibson R (1973) An optimally efficient algorithm for a single-link cluster method. Comput J 16:30-34
    • (1973) Comput J , vol.16 , pp. 30-34
    • Sibson, R.1
  • 110
    • 0001765146 scopus 로고
    • An efficient algorithm for a complete link cluster method
    • Defays D (1977) An efficient algorithm for a complete link cluster method. Comput J 20:364-366
    • (1977) Comput J , vol.20 , pp. 364-366
    • Defays, D.1
  • 111
    • 84928859454 scopus 로고    scopus 로고
    • Accessed 12 July 2012
    • Anonymous (2012) Cluster analysis. http://en. wikipedia.org/Clustert-analysis. Accessed 12 July 2012
    • (2012) Cluster Analysis
    • Anonymous1
  • 112
    • 84928864514 scopus 로고    scopus 로고
    • Accessed 12 July 2012
    • Anonymous (2012) Sequence clustering. http://en. wikipedia.org/wiki/Sequence-analysis. Accessed 12 July 2012
    • (2012) Sequence Clustering
    • Anonymous1
  • 113
    • 79951986443 scopus 로고    scopus 로고
    • A gene expression signature of acquired chemoresistance to cisplatinum and fluorouracil combination chemotherapy in gastric cancer patients
    • Kim HK, Choi IJ, Kim HS, Oshima A, Michalowski A, Green JE (2011) A gene expression signature of acquired chemoresistance to cisplatinum and fluorouracil combination chemotherapy in gastric cancer patients. PLoS One 18:e16694
    • (2011) PLoS One , vol.18 , pp. e16694
    • Kim, H.K.1    Choi, I.J.2    Kim, H.S.3    Oshima, A.4    Michalowski, A.5    Green, J.E.6
  • 116
    • 34250841288 scopus 로고    scopus 로고
    • Statistical cluster analysis of pharmaceutical solvents
    • Xu D, Redamn-Furey N (2007) Statistical cluster analysis of pharmaceutical solvents. Int J Pharm 339:175-188
    • (2007) Int J Pharm , vol.339 , pp. 175-188
    • Xu, D.1    Redamn-Furey, N.2
  • 117
    • 70350228928 scopus 로고    scopus 로고
    • Development of objective methodology to measure medication adherence to oral thiopurines in paediatric patients with acute lymphoblastic leucemia
    • Hawwa A, Millership JS, Collier PS, McCarthy A, Dempsey S, Cairns C, McElnay JC (2009) Development of objective methodology to measure medication adherence to oral thiopurines in paediatric patients with acute lymphoblastic leucemia. Eur J Clin Pharm 65:1105-1112
    • (2009) Eur J Clin Pharm , vol.65 , pp. 1105-1112
    • Hawwa, A.1    Millership, J.S.2    Collier, P.S.3    McCarthy, A.4    Dempsey, S.5    Cairns, C.6    McElnay, J.C.7
  • 118
    • 84933062308 scopus 로고    scopus 로고
    • Accessed 12 July 2012
    • SPSS statistical software (2012) www.spss.com. Accessed 12 July 2012
    • (2012)
    • SPSS statistical software1
  • 120
    • 84864067836 scopus 로고    scopus 로고
    • Suppression of cytokine gene expression and improved therapeutic efficacy of microemulsion-based tacrolimus cream for atopic dermatitis
    • Latan MS, Laddha NC, Latani J, Imran MJ, Begum R, Misra A (2012) Suppression of cytokine gene expression and improved therapeutic efficacy of microemulsion-based tacrolimus cream for atopic dermatitis. Drug Deliv Transl Res 2:129-141
    • (2012) Drug Deliv Transl Res , vol.2 , pp. 129-141
    • Latan, M.S.1    Laddha, N.C.2    Latani, J.3    Imran, M.J.4    Begum, R.5    Misra, A.6
  • 121
    • 0033565436 scopus 로고    scopus 로고
    • Longitudinal data analysis (repeated measures) in clinical trials
    • Albertin PS (1999) Longitudinal data analysis (repeated measures) in clinical trials. Stat Med 18:2863-2870
    • (1999) Stat Med , vol.18 , pp. 2863-2870
    • Albertin, P.S.1
  • 122
    • 33947188066 scopus 로고    scopus 로고
    • Functional regression analysis using an F test for ongitudinal data with large numbers of repeated measures
    • Yang X, Shen Q, Xu H, Shoptaw S (2007) Functional regression analysis using an F test for ongitudinal data with large numbers of repeated measures. Stat Med 26:1552-1566
    • (2007) Stat Med , vol.26 , pp. 1552-1566
    • Yang, X.1    Shen, Q.2    Xu, H.3    Shoptaw, S.4
  • 123
    • 84864074689 scopus 로고    scopus 로고
    • The fastclus procedure as an effective way to analyze clinical data
    • Long Beach, CA
    • Sverdlov L (2001) The fastclus procedure as an effective way to analyze clinical data. In: SUGI proceedings 26, paper 224, Long Beach, CA
    • (2001) SUGI Proceedings , vol.26 , pp. 224
    • Sverdlov, L.1
  • 124
    • 85004829927 scopus 로고
    • Spearman and the origin and development of factor analysis
    • Barthelemew DJ (1995) Spearman and the origin and development of factor analysis. Br J Math Stat Psychol 48:211-220
    • (1995) Br J Math Stat Psychol , vol.48 , pp. 211-220
    • Barthelemew, D.J.1
  • 126
    • 0001098205 scopus 로고
    • Estimation of principle components and related models by iterative least squares
    • Krishnaiah PR ed, Academic, New York
    • Wold H (1966) Estimation of principle components and related models by iterative least squares. In: Krishnaiah PR (ed) Multivariate analysis. Academic, New York, pp 391-420
    • (1966) Multivariate Analysis , pp. 391-420
    • Wold, H.1
  • 127
    • 84933052357 scopus 로고    scopus 로고
    • Wikipedia, the free encyclopedia, Accessed 25 Apr. 2012
    • Anonymous (2012) Factor analysis. Wikipedia, the free encyclopedia. Accessed 25 Apr. 2012
    • (2012) Factor Analysis
    • Anonymous1
  • 128
    • 84933047734 scopus 로고    scopus 로고
    • Accessed 13 Apr. 2012
    • Anonymous (2012) Partial least squares regression. http://en. wikipedia.org/wiki/Partial-least-squares-regression. Accessed 13 Apr. 2012
    • (2012) Partial Least Squares Regression
    • Anonymous1
  • 131
    • 33645823677 scopus 로고    scopus 로고
    • A new summarization method for affymetrix probe level data
    • Hochreiter S, Clevert DA, Obermayer K (2006) A new summarization method for affymetrix probe level data. Bioinformatics 22:943-949
    • (2006) Bioinformatics , vol.22 , pp. 943-949
    • Hochreiter, S.1    Clevert, D.A.2    Obermayer, K.3
  • 132
    • 33846492185 scopus 로고    scopus 로고
    • PLS-Cox model: Application to gene expression
    • section: Partial Least Squares
    • Bastien T (2004) PLS-Cox model: application to gene expression. COMPSTAT 2004; section: Partial Least Squares
    • (2004) COMPSTAT 2004
    • Bastien, T.1
  • 133
    • 79955983466 scopus 로고    scopus 로고
    • Modeling microRNA-mRNA interactions using pls regression in human colon cancer
    • Li X, Gill R, Cooper NG, Yoo JK, Datta S (2011) Modeling microRNA-mRNA interactions using pls regression in human colon cancer. BMC Med Genomics 4:44
    • (2011) BMC Med Genomics , vol.4 , pp. 44
    • Li, X.1    Gill, R.2    Cooper, N.G.3    Yoo, J.K.4    Datta, S.5
  • 135
    • 0035965449 scopus 로고    scopus 로고
    • PLS path modeling and multiple table analysis. Application to cosmetic habits of women in Ile de France
    • Guinot C, Latreille J, Tenehaus M (2001) PLS path modeling and multiple table analysis. Application to cosmetic habits of women in Ile de France. Chem Intell Lab Syst 58:247-259
    • (2001) Chem Intell Lab Syst , vol.58 , pp. 247-259
    • Guinot, C.1    Latreille, J.2    Tenehaus, M.3
  • 136
    • 12044257390 scopus 로고
    • How the power of MANOVA can both increase and decrease as a function of the intercorrelations among the dependent variables
    • Cole DA, Maxwell SE, Arvey R, Salas E (1994) How the power of MANOVA can both increase and decrease as a function of the intercorrelations among the dependent variables. Psychol Bull 115:465-474
    • (1994) Psychol Bull , vol.115 , pp. 465-474
    • Cole, D.A.1    Maxwell, S.E.2    Arvey, R.3    Salas, E.4
  • 137
    • 0004245434 scopus 로고
    • McMillan, London First edition 1935; Ninth edition
    • Fisher RA. The design of experiments. McMillan, London (First edition 1935; Ninth edition 1971)
    • (1971) The Design of Experiments
    • Fisher, R.A.1
  • 138
    • 0004200962 scopus 로고    scopus 로고
    • 1973 Google books, Google, Accessed 08 Jan 2012
    • Klecka WR (1973) Discriminant analysis. Google books, 1973, Google, Accessed 08 Jan 2012
    • (1973) Discriminant Analysis
    • Klecka, W.R.1
  • 140
    • 84933038431 scopus 로고    scopus 로고
    • Application of canonical discriminant analysis for assessment of genetic variation in Muscovy duck ecotypes in Nigeria
    • Ogah DM, Momoh OM, Dim NI (2011) Application of canonical discriminant analysis for assessment of genetic variation in Muscovy duck ecotypes in Nigeria. Egypt Poult Sci 31:429-436
    • (2011) Egypt Poult Sci , vol.31 , pp. 429-436
    • Ogah, D.M.1    Momoh, O.M.2    Dim, N.I.3
  • 141
    • 80052664177 scopus 로고    scopus 로고
    • Regularized discriminant analysis and its application in microarrays
    • Guo Y, Hastle T, Tibshirani R (2005) Regularized discriminant analysis and its application in microarrays. Biostatistics 1:1-18
    • (2005) Biostatistics , vol.1 , pp. 1-18
    • Guo, Y.1    Hastle, T.2    Tibshirani, R.3
  • 144
    • 84933041105 scopus 로고    scopus 로고
    • The use of discriminant analysis to separate a study population by treatment subgroups in a clinical trial with a new pentapeptide antidepressant
    • Feigner JP, Sverdlov L (2001) The use of discriminant analysis to separate a study population by treatment subgroups in a clinical trial with a new pentapeptide antidepressant. J Appl Res 21:1-6
    • (2001) J Appl Res , vol.21 , pp. 1-6
    • Feigner, J.P.1    Sverdlov, L.2
  • 145
    • 0018607349 scopus 로고
    • Linear discriminant analysis in clinical neuropsychology
    • Adams KM (1979) Linear discriminant analysis in clinical neuropsychology. J Clin Neuropsychol 1:259-272
    • (1979) J Clin Neuropsychol , vol.1 , pp. 259-272
    • Adams, K.M.1
  • 146
    • 0345283011 scopus 로고    scopus 로고
    • Differences in clinical parameters and tear film of tolerant and intolerant contact lens wearers
    • Glasson MJ, Stapleton F, Keay L, Sweeney D, Willcox MD (2003) Differences in clinical parameters and tear film of tolerant and intolerant contact lens wearers. Invest Ophthalmol Vis Sci 44:5116-5124
    • (2003) Invest Ophthalmol Vis Sci , vol.44 , pp. 5116-5124
    • Glasson, M.J.1    Stapleton, F.2    Keay, L.3    Sweeney, D.4    Willcox, M.D.5
  • 149
    • 84928859454 scopus 로고    scopus 로고
    • Accessed 12 July 2012
    • Anonymous (2012) Cluster analysis. http://en. wikipedia.org/Clustert-analysis. Accessed 12 July 2012
    • (2012) Cluster Analysis
    • Anonymous1
  • 150
    • 84928864514 scopus 로고    scopus 로고
    • Accessed 12 July 2012
    • Anonymous (2012) Sequence clustering. http://en. wikipedia.org/wiki/Sequence-analysis. Accessed 12 July 2012
    • (2012) Sequence Clustering
    • Anonymous1
  • 151
    • 85004829927 scopus 로고
    • Spearman and the origin and development of factor analysis
    • Barthelemew DJ (1995) Spearman and the origin and development of factor analysis. Br J Math Stat Psychol 48:211-220
    • (1995) Br J Math Stat Psychol , vol.48 , pp. 211-220
    • Barthelemew, D.J.1
  • 153
    • 84864067836 scopus 로고    scopus 로고
    • Suppression of cytokine gene expression and improved therapeutic efficacy of microemulsion-based tacrolimus cream for atopic dermatitis
    • Latan MS, Laddha NC, Latani J, Imran MJ, Begum R, Misra A (2012) Suppression of cytokine gene expression and improved therapeutic efficacy of microemulsion-based tacrolimus cream for atopic dermatitis. Drug Deliv Transl Res 2:129-141
    • (2012) Drug Deliv Transl Res , vol.2 , pp. 129-141
    • Latan, M.S.1    Laddha, N.C.2    Latani, J.3    Imran, M.J.4    Begum, R.5    Misra, A.6
  • 154
    • 0033565436 scopus 로고    scopus 로고
    • Longitudinal data analysis (repeated measures) in clinical trials
    • Albertin PS (1999) Longitudinal data analysis (repeated measures) in clinical trials. Stat Med 18:2863-2870
    • (1999) Stat Med , vol.18 , pp. 2863-2870
    • Albertin, P.S.1
  • 155
    • 33947188066 scopus 로고    scopus 로고
    • Functional regression analysis using an F test for longitudinal data with large numbers of repeated measures
    • Yang X, Shen Q, Xu H, Shoptaw S (2007) Functional regression analysis using an F test for longitudinal data with large numbers of repeated measures. Stat Med 26:1552-1566
    • (2007) Stat Med , vol.26 , pp. 1552-1566
    • Yang, X.1    Shen, Q.2    Xu, H.3    Shoptaw, S.4
  • 156
    • 84864074689 scopus 로고    scopus 로고
    • The fastclus procedure as an effective way to analyze clinical data
    • Long Beach, CA
    • Sverdlov L (2001) The fastclus procedure as an effective way to analyze clinical data. In: SUGI proceedings 26, paper 224, Long Beach, CA
    • (2001) SUGI Proceedings , vol.26 , pp. 224
    • Sverdlov, L.1
  • 158
    • 77956269820 scopus 로고    scopus 로고
    • Using canonical correlation analysis to discover genetic regulatory variants
    • Naylor MG, Lin X, Weiss ST, Raby BA, Lange C (2010) Using canonical correlation analysis to discover genetic regulatory variants. PLoS One 5(5):e10395
    • (2010) PLoS One , vol.5 , Issue.5 , pp. e10395
    • Naylor, M.G.1    Lin, X.2    Weiss, S.T.3    Raby, B.A.4    Lange, C.5
  • 159
    • 38049006867 scopus 로고    scopus 로고
    • Penalized canonical correlation analysis to quantify the association between gene expression and DNA markers
    • Waaijenberg S, Zwinderman AH (2007) Penalized canonical correlation analysis to quantify the association between gene expression and DNA markers. BMC Proc 1(Suppl 1):S122-S125
    • (2007) BMC Proc , vol.1 , pp. S122-S125
    • Waaijenberg, S.1    Zwinderman, A.H.2
  • 160
    • 10944263103 scopus 로고    scopus 로고
    • Validation of surrogate markers in multiple randomized clinical trails with repeated measurements, Canonical correlation approach
    • Alonso A, Geys H, Molenberghs G, Kenward MG, Vangeneugden T (2004) Validation of surrogate markers in multiple randomized clinical trails with repeated measurements, Canonical correlation approach. Biometrics 60:845-853
    • (2004) Biometrics , vol.60 , pp. 845-853
    • Alonso, A.1    Geys, H.2    Molenberghs, G.3    Kenward, M.G.4    Vangeneugden, T.5
  • 161
    • 0010682994 scopus 로고
    • Canonical analysis of longitudinal and repeated measures data with stationary weights
    • Meredith W, Tisak J (1982) Canonical analysis of longitudinal and repeated measures data with stationary weights. Psychometrika 47:47-67
    • (1982) Psychometrika , vol.47 , pp. 47-67
    • Meredith, W.1    Tisak, J.2
  • 163
    • 77249110935 scopus 로고    scopus 로고
    • On the equivalence between canonical correlation analysis and orthonormalized partial least squares
    • 2009 AAAI Association Advancement Artificial Intelligence Publications, Palo Alto, CA
    • Sun L, Ji S, Yu S, Ye J (2009) On the equivalence between canonical correlation analysis and orthonormalized partial least squares. In: Proceedings of conference on artificial intelligence 2009, AAAI (Association Advancement Artificial Intelligence) Publications, Palo Alto, CA, pp 1230-1235
    • (2009) Proceedings of Conference on Artificial Intelligence , pp. 1230-1235
    • Sun, L.1    Ji, S.2    Yu, S.3    Ye, J.4
  • 164
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou H, Hastie T (2005) Regularization and variable selection via the elastic net. J Roy Stat Soc B 67:301-320
    • (2005) J Roy Stat Soc B , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 165
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R (1996) Regression shrinkage and selection via the lasso. J Roy Stat Soc B 58:267-288
    • (1996) J Roy Stat Soc B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 167
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338-353
    • (1965) Inf Control , vol.8 , pp. 338-353
    • Zadeh, L.A.1
  • 169
    • 0347298699 scopus 로고    scopus 로고
    • MRI definition of target volumes using logic metho for three-dimensional conformal radiation therapy
    • Fournier C, Castelain B, Coche-Dequeant B, Rousseau J (2003) MRI definition of target volumes using logic metho for three-dimensional conformal radiation therapy. Int J Rad Oncol 55:225-233
    • (2003) Int J Rad Oncol , vol.55 , pp. 225-233
    • Fournier, C.1    Castelain, B.2    Coche-Dequeant, B.3    Rousseau, J.4
  • 170
    • 0141790049 scopus 로고    scopus 로고
    • Artificial intelligence in predicting bladder cancer outcome: A comparison of fuzzy modelling and artificial intelligence
    • Catto JW, Linckens DA, Abbod MF, Chen M, Burton JL, Feeley KM, Hamdy FC (2003) Artificial intelligence in predicting bladder cancer outcome: a comparison of fuzzy modelling and artificial intelligence. Clin Cancer Res 9:4172-4177
    • (2003) Clin Cancer Res , vol.9 , pp. 4172-4177
    • Catto, J.W.1    Linckens, D.A.2    Abbod, M.F.3    Chen, M.4    Burton, J.L.5    Feeley, K.M.6    Hamdy, F.C.7
  • 171
    • 0037385517 scopus 로고    scopus 로고
    • Applying fuzzy logic to medical decision making in the intensive care
    • Bates JH, Young MP (2003) Applying fuzzy logic to medical decision making in the intensive care. Am J Resp Crit Care Med 167:948-952
    • (2003) Am J Resp Crit Care Med , vol.167 , pp. 948-952
    • Bates, J.H.1    Young, M.P.2
  • 173
    • 0030822502 scopus 로고    scopus 로고
    • Using fuzzy logic to predict response to citalopram in alcohol dependence
    • Naranjo CA, Bremmer KE, Bazoon M, Turksen IB (1997) Using fuzzy logic to predict response to citalopram in alcohol dependence. Clin Pharmacol Ther 62:209-224
    • (1997) Clin Pharmacol Ther , vol.62 , pp. 209-224
    • Naranjo, C.A.1    Bremmer, K.E.2    Bazoon, M.3    Turksen, I.B.4
  • 174
    • 26844458888 scopus 로고    scopus 로고
    • Fuzzy logic and continuous cellular automata in warfarin dosing of stroke patients
    • Helgason CM, Jobe TH (2005) Fuzzy logic and continuous cellular automata in warfarin dosing of stroke patients. Curr Treat Options Cardiol Med 7:211-218
    • (2005) Curr Treat Options Cardiol Med , vol.7 , pp. 211-218
    • Helgason, C.M.1    Jobe, T.H.2
  • 175
    • 1542339375 scopus 로고    scopus 로고
    • The application of fuzzy logic to the prescription of antithrombotic agents in the elderly
    • Helgason CM (2004) The application of fuzzy logic to the prescription of antithrombotic agents in the elderly. Drugs Aging 21:731-736
    • (2004) Drugs Aging , vol.21 , pp. 731-736
    • Helgason, C.M.1
  • 176
    • 0032017140 scopus 로고    scopus 로고
    • Medicinal chemistry and fuzzy logic
    • Russo M, Santagati NA (1998) Medicinal chemistry and fuzzy logic. Inf Sci 105:299-314
    • (1998) Inf Sci , vol.105 , pp. 299-314
    • Russo, M.1    Santagati, N.A.2
  • 177
    • 84933062317 scopus 로고    scopus 로고
    • Accessed 22 Oct. 2010
    • SPSS Statistical Software (2010) www.SPSS.com. Accessed 22 Oct. 2010
    • (2010)
    • SPSS Statistical Software1
  • 179
    • 84933062318 scopus 로고    scopus 로고
    • Accessed 22 Oct. 2010
    • SAS Statistical Software (2010) www.SAS.com. Accessed 22 Oct. 2010
    • (2010)
    • SAS Statistical Software1
  • 180
    • 84933062319 scopus 로고    scopus 로고
    • Accessed 22 Oct. 2010
    • FuzzyLogic (2010) fuzzylogic.sourceforge.net. Accessed 22 Oct. 2010
    • (2010)
    • FuzzyLogic1
  • 182
    • 84933062321 scopus 로고    scopus 로고
    • Accessed 22 Oct. 2010
    • Defuzzification methods. www.mathworks.com. Accessed 22 Oct. 2010
    • Defuzzification methods1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.