메뉴 건너뛰기




Volumn 69, Issue 3, 2001, Pages 385-398

Idiot's Bayes - Not so stupid after all?

Author keywords

Diagnosis; Independence model; Na ve Bayes; Simple Bayes; Supervised classification

Indexed keywords


EID: 0035528674     PISSN: 03067734     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1751-5823.2001.tb00465.x     Document Type: Article
Times cited : (829)

References (85)
  • 1
    • 0022445787 scopus 로고
    • Computer-aided diagnosis of acute abdominal pain: A multicentre study
    • Adams, I.D., Chan, M., Clifford, P.C., et al. (1986). Computer-aided diagnosis of acute abdominal pain: a multicentre study. British Medical Journal, 293, 800-804.
    • (1986) British Medical Journal , vol.293 , pp. 800-804
    • Adams, I.D.1    Chan, M.2    Clifford, P.C.3
  • 2
    • 0033164667 scopus 로고    scopus 로고
    • Comparing classifiers when the misallocation costs are uncertain
    • Adams, N.M. & Hand, D.J. (1999). Comparing classifiers when the misallocation costs are uncertain. Pattern Recognition, 32, 1139-1147.
    • (1999) Pattern Recognition , vol.32 , pp. 1139-1147
    • Adams, N.M.1    Hand, D.J.2
  • 5
    • 0014875007 scopus 로고
    • Computer analysis of symptom patterns as a method of screening patients at a special risk of hyperthyroidism
    • Barker, D.J.P. & Bishop, J.M. (1970). Computer analysis of symptom patterns as a method of screening patients at a special risk of hyperthyroidism. British Journal of Preventive and Social Medicine, 24, 193-196.
    • (1970) British Journal of Preventive and Social Medicine , vol.24 , pp. 193-196
    • Barker, D.J.P.1    Bishop, J.M.2
  • 9
    • 0001929348 scopus 로고
    • ASSISTANT-86: A knowledge elicitation tool for sophisticated users
    • Eds. I. Bratko and N. Lavrac. Sigma Press
    • Cestnik, G., Kononenko, I. & Bratko, I. (1987). ASSISTANT-86: A knowledge elicitation tool for sophisticated users. In Progress in Machine Learning, Eds. I. Bratko and N. Lavrac. Sigma Press.
    • (1987) Progress in Machine Learning
    • Cestnik, G.1    Kononenko, I.2    Bratko, I.3
  • 10
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Clark, P. & Niblett, T. (1989). The CN2 induction algorithm. Machine Learning, 3, 261-283.
    • (1989) Machine Learning , vol.3 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 11
    • 0020640652 scopus 로고
    • Comparison of multivariate discrimination techniques for clinical data application to the thyroid functional state
    • Coomans, D., Broeckaert, I., Jonckheer, M. & Massart, D.L. (1983). Comparison of multivariate discrimination techniques for clinical data application to the thyroid functional state. Methods of Information in Medicine, 22, 93-101.
    • (1983) Methods of Information in Medicine , vol.22 , pp. 93-101
    • Coomans, D.1    Broeckaert, I.2    Jonckheer, M.3    Massart, D.L.4
  • 14
    • 0023489265 scopus 로고
    • Some points on the use of 'independent Bayes' to diagnose acute abdominal pain
    • Crichton, N.J., Fryer, J.G. & Spicer, C.C. (1987). Some points on the use of 'independent Bayes' to diagnose acute abdominal pain. Statistics in Medicine, 6, 945-959.
    • (1987) Statistics in Medicine , vol.6 , pp. 945-959
    • Crichton, N.J.1    Fryer, J.G.2    Spicer, C.C.3
  • 16
    • 0024787634 scopus 로고
    • Correspondence analysis as a screening method for indicants for clinical diagnosis
    • Crichton, N.J. & Hinde, J.P. (1989). Correspondence analysis as a screening method for indicants for clinical diagnosis. Statistics in Medicine, 8, 1351-1362.
    • (1989) Statistics in Medicine , vol.8 , pp. 1351-1362
    • Crichton, N.J.1    Hinde, J.P.2
  • 17
    • 0016033122 scopus 로고
    • Mathematical models in medical diagnosis
    • Croft, D.J. & Machol, R.E. (1987). Mathematical models in medical diagnosis. Ann. Biomed. Engng., 2, 69-89.
    • (1987) Ann. Biomed. Engng. , vol.2 , pp. 69-89
    • Croft, D.J.1    Machol, R.E.2
  • 18
    • 0017094666 scopus 로고
    • Properties of diagnostic data distributions
    • Dawid, A.P. (1976). Properties of diagnostic data distributions. Biometrics, 32, 647-658.
    • (1976) Biometrics , vol.32 , pp. 647-658
    • Dawid, A.P.1
  • 19
    • 0025869868 scopus 로고
    • The diagnosis of acute abdominal pain with computer assistance: Worldwide perspective
    • de Dombal, F.T. (1991). The diagnosis of acute abdominal pain with computer assistance: worldwide perspective. Ann. Chir., 45, 273-277.
    • (1991) Ann. Chir. , vol.45 , pp. 273-277
    • De Dombal, F.T.1
  • 21
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos, P. & Pazzani, M. (1997). On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning, 29, 103-130.
    • (1997) Machine Learning , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 24
    • 0021320769 scopus 로고
    • Use of a Bayesian algorithm in the computer-assisted diagnosis of appendicitis
    • Edwards, F.H. & Davies, R.S. (1984). Use of a Bayesian algorithm in the computer-assisted diagnosis of appendicitis. Surg. Gynecol. Obstet., 158, 219-222.
    • (1984) Surg. Gynecol. Obstet. , vol.158 , pp. 219-222
    • Edwards, F.H.1    Davies, R.S.2
  • 25
    • 84886193637 scopus 로고
    • The efficiency of logistic regression compared to normal discriminant analysis
    • Efron, B. (1975). The efficiency of logistic regression compared to normal discriminant analysis. Journal of the American Statistical Association, 70, 892-898.
    • (1975) Journal of the American Statistical Association , vol.70 , pp. 892-898
    • Efron, B.1
  • 26
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R.A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7, 179-188.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 27
    • 0019205222 scopus 로고
    • A quantitative comparison with rule-based diagnostic inference
    • Fox, J., Barber, D. & Bardhan, K.D. (1980). A quantitative comparison with rule-based diagnostic inference. Methods of Information in Medicine, 19, 210-215.
    • (1980) Methods of Information in Medicine , vol.19 , pp. 210-215
    • Fox, J.1    Barber, D.2    Bardhan, K.D.3
  • 29
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0/1-loss, and the curse of dimensionality
    • Friedman, J.H. (1997). On bias, variance, 0/1-loss, and the curse of dimensionality. Data Mining and Knowledge Discovery, 1, 55-77.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.H.1
  • 31
    • 0018245644 scopus 로고
    • Bayes' theorem and conditional nonindependence of data in medical diagnosis
    • Fryback, D.G. (1978). Bayes' theorem and conditional nonindependence of data in medical diagnosis. Computers and Biomedical Research, 11, 423-434.
    • (1978) Computers and Biomedical Research , vol.11 , pp. 423-434
    • Fryback, D.G.1
  • 32
    • 0026059468 scopus 로고
    • Bayesian diagnostic probabilities without assuming independence of symptoms
    • Gammerman, A. & Thatcher, A.R. (1991). Bayesian diagnostic probabilities without assuming independence of symptoms. Methods of Information in Medicine, 30, 15-22.
    • (1991) Methods of Information in Medicine , vol.30 , pp. 15-22
    • Gammerman, A.1    Thatcher, A.R.2
  • 35
    • 0025900448 scopus 로고
    • The acute abdomen: The role of computer-assisted diagnosis
    • Gunn, A.A. (1991). The acute abdomen: the role of computer-assisted diagnosis. Baillieres Clin. Gastroenterology, 5, 639-635.
    • (1991) Baillieres Clin. Gastroenterology , vol.5 , pp. 639-1635
    • Gunn, A.A.1
  • 40
    • 0000264058 scopus 로고    scopus 로고
    • Defining attributes for scorecard construction
    • Hand, D.J. & Adams, N.M. (2000). Defining attributes for scorecard construction. Journal of Applied Statistics, 27, 527-540.
    • (2000) Journal of Applied Statistics , vol.27 , pp. 527-540
    • Hand, D.J.1    Adams, N.M.2
  • 43
    • 0021635541 scopus 로고
    • Statistical diagnosis based on conditional independence does not require it
    • Hilden, J. (1984). Statistical diagnosis based on conditional independence does not require it. Computers in Biology and Medicine, 14, 429-435.
    • (1984) Computers in Biology and Medicine , vol.14 , pp. 429-435
    • Hilden, J.1
  • 44
    • 0007159296 scopus 로고
    • Computer-aided diagnosis and the atypical case
    • Eds. F.T. de Dombal and F. Gremy, Amsterdam: North Holland
    • Hilden, J. & Bjerregaard, B. (1976). Computer-aided diagnosis and the atypical case. In Decision Making and Medical Care: Can Information Science Help, Eds. F.T. de Dombal and F. Gremy, pp. 365-378. Amsterdam: North Holland.
    • (1976) Decision Making and Medical Care: Can Information Science Help , pp. 365-378
    • Hilden, J.1    Bjerregaard, B.2
  • 48
    • 0029306995 scopus 로고
    • STATLOG - Comparison of classification algorithms on large real-world problems
    • King, R.D., Feng, C. & Sutherland, A. (1995). STATLOG - comparison of classification algorithms on large real-world problems. Applied Artificial Intelligence, 9, 289-333.
    • (1995) Applied Artificial Intelligence , vol.9 , pp. 289-333
    • King, R.D.1    Feng, C.2    Sutherland, A.3
  • 50
    • 0003112380 scopus 로고
    • Comparison of inductive and naïve Bayesian learning approaches to automatic knowledge acquisition
    • Eds. B. Wielinga et al. . Amsterdam: IOS Press
    • Kononenko, I. (1990). Comparison of inductive and naïve Bayesian learning approaches to automatic knowledge acquisition. In Current trends in knowledge acquisition, Eds. B. Wielinga et al. . Amsterdam: IOS Press.
    • (1990) Current Trends in Knowledge Acquisition
    • Kononenko, I.1
  • 55
    • 0000478224 scopus 로고
    • Exploiting prior knowledge in network optimisation: An illustration form medical prognosis
    • Lowe, D. & Webb, A.R. (1990). Exploiting prior knowledge in network optimisation: an illustration form medical prognosis. Network Comput. Neural Sys., 1, 299-323.
    • (1990) Network Comput. Neural Sys. , vol.1 , pp. 299-323
    • Lowe, D.1    Webb, A.R.2
  • 59
    • 0012429239 scopus 로고    scopus 로고
    • A Bayesian network classifier that combines a finite mixture model and a naïve Bayes model
    • Stockholm, Sweden
    • Monti, S. & Cooper, G.F. (1999). A Bayesian network classifier that combines a finite mixture model and a naïve Bayes model. In Proceedings of the 15th Conference on Uncertainty in A1, Stockholm, Sweden.
    • (1999) Proceedings of the 15th Conference on Uncertainty in A1
    • Monti, S.1    Cooper, G.F.2
  • 61
    • 0025853532 scopus 로고
    • Bayesian reasoning in medicine: The contributions of Lee B. Lusted, MD
    • O'Connor, G.T. & Sox, H.C. (1991). Bayesian reasoning in medicine: the contributions of Lee B. Lusted, MD. Medical Decision Making, 11, 107-111.
    • (1991) Medical Decision Making , vol.11 , pp. 107-111
    • O'Connor, G.T.1    Sox, H.C.2
  • 62
    • 0022786437 scopus 로고
    • Selection of variables using 'independence Bayes' in computer-aided diagnosis of upper gastrointestinal bleeding
    • Ohmann, C., Künneke, M., Zaczyk, R., Thon, K. & Lorenz, W. (1986). Selection of variables using 'independence Bayes' in computer-aided diagnosis of upper gastrointestinal bleeding. Statistics in Medicine, 5, 503-515.
    • (1986) Statistics in Medicine , vol.5 , pp. 503-515
    • Ohmann, C.1    Künneke, M.2    Zaczyk, R.3    Thon, K.4    Lorenz, W.5
  • 63
    • 0030087642 scopus 로고    scopus 로고
    • Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain
    • Ohmann, C., Moustakis, V., Yang, Q. & Lang, K. (1996). Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain. Artificial Intelligence in Medicine, 8, 23-36.
    • (1996) Artificial Intelligence in Medicine , vol.8 , pp. 23-36
    • Ohmann, C.1    Moustakis, V.2    Yang, Q.3    Lang, K.4
  • 64
    • 0023952115 scopus 로고
    • Bayes theorem and conditional dependence of symptoms: Different models applied to data of upper gastrointestinal bleeding
    • Ohmann, C., Yang, Q., Künneke, M., Stöltzing, H., Thon, K. & Lorenz, W. (1988). Bayes theorem and conditional dependence of symptoms: different models applied to data of upper gastrointestinal bleeding. Methods of Information in Medicine, 27, 73-83.
    • (1988) Methods of Information in Medicine , vol.27 , pp. 73-83
    • Ohmann, C.1    Yang, Q.2    Künneke, M.3    Stöltzing, H.4    Thon, K.5    Lorenz, W.6
  • 65
    • 0000016969 scopus 로고
    • Some classification procedures for multivariate binary data using orthogonal functions
    • Ott, J. & Kronmal, R.A. (1976). Some classification procedures for multivariate binary data using orthogonal functions. Journal of the American Statistical Association, 71, 391.
    • (1976) Journal of the American Statistical Association , vol.71 , pp. 391
    • Ott, J.1    Kronmal, R.A.2
  • 68
    • 0031079876 scopus 로고    scopus 로고
    • Neural network modelling of the level of observation decision in an acute psychiatric ward
    • Penny, W.D. & Frost, D.P. (1997). Neural network modelling of the level of observation decision in an acute psychiatric ward. Computers and Biomedical Research, 30, 1-17.
    • (1997) Computers and Biomedical Research , vol.30 , pp. 1-17
    • Penny, W.D.1    Frost, D.P.2
  • 71
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. (1978). Modeling by shortest data description. Automatica, 14, 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 72
    • 0021074133 scopus 로고
    • The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis
    • Russek, E., Kronmal, R.A. & Fisher, L.D. (1983). The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis. Computers and Biomedical Research, 16, 537-552.
    • (1983) Computers and Biomedical Research , vol.16 , pp. 537-552
    • Russek, E.1    Kronmal, R.A.2    Fisher, L.D.3
  • 75
    • 0024494092 scopus 로고
    • Computer-aided diagnosis: A review
    • Sutton, G.C. (1989). Computer-aided diagnosis: a review. British Journal of Surgery, 76, 82-85.
    • (1989) British Journal of Surgery , vol.76 , pp. 82-85
    • Sutton, G.C.1
  • 76
    • 0025960263 scopus 로고
    • Tables for estimation of individual risks of fetal neural tube and ventral wall defects, incorporating prior probability, maternal serum α-fetoprotein levels, and ultrasonographic examination results
    • Thornton, J.G., Lilford, R.J. & Newcombe, R.G. (1991). Tables for estimation of individual risks of fetal neural tube and ventral wall defects, incorporating prior probability, maternal serum α-fetoprotein levels, and ultrasonographic examination results. American Journal of Obstetrics and Gynaecology, 164, 154-160.
    • (1991) American Journal of Obstetrics and Gynaecology , vol.164 , pp. 154-160
    • Thornton, J.G.1    Lilford, R.J.2    Newcombe, R.G.3
  • 78
    • 0028149540 scopus 로고
    • The relative accuracy of a variety of medical diagnostic programmes
    • Todd, B.S. & Stamper, R. (1994). The relative accuracy of a variety of medical diagnostic programmes. Methods of Information in Medicine, 33, 402-416.
    • (1994) Methods of Information in Medicine , vol.33 , pp. 402-416
    • Todd, B.S.1    Stamper, R.2
  • 79
    • 0007286802 scopus 로고
    • Statistics for a diagnostic model
    • van Woerkom, A.J. & Brodman, K. (1961). Statistics for a diagnostic model. Biometrics, 17, 299-318.
    • (1961) Biometrics , vol.17 , pp. 299-318
    • Van Woerkom, A.J.1    Brodman, K.2
  • 83
    • 0007225289 scopus 로고
    • Methods used in a program for computer-aided identification of bacteria
    • New York: Academic Press
    • Willcox, W.R. & Lapage, S.P. (1975). Methods used in a program for computer-aided identification of bacteria. In Biological Identification with Computers, pp. 103-119. New York: Academic Press.
    • (1975) Biological Identification with Computers , pp. 103-119
    • Willcox, W.R.1    Lapage, S.P.2
  • 84
    • 0019182320 scopus 로고
    • A review of numerical methods in bacterial identification
    • Willcox, W.R., Lapage, S.P. & Holmes, B. (1980). A review of numerical methods in bacterial identification. Antonie van Leeuwenhoek, 46, 233-299.
    • (1980) Antonie Van Leeuwenhoek , vol.46 , pp. 233-299
    • Willcox, W.R.1    Lapage, S.P.2    Holmes, B.3
  • 85
    • 0015892139 scopus 로고
    • Identification of bacteria by computer: Theory and programming
    • Willcox, W.R., Lapage, S.P., Bascomb, S. & Cursin, M.A. (1973). Identification of bacteria by computer: theory and programming. J. Gen. Microbiol., 77, 317-330.
    • (1973) J. Gen. Microbiol. , vol.77 , pp. 317-330
    • Willcox, W.R.1    Lapage, S.P.2    Bascomb, S.3    Cursin, M.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.