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Volumn 51, Issue 1, 1998, Pages 13-28

Dynamic decision analysis in medicine: A data-driven approach

Author keywords

Abstraction; Bayesian learning; Databases; Dynamic decision analysis; Modeling

Indexed keywords

COMPUTER SIMULATION; DATABASE SYSTEMS; DECISION THEORY; LEARNING SYSTEMS; MEDICINE; PROBABILITY;

EID: 0032123212     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(98)00085-9     Document Type: Article
Times cited : (19)

References (25)
  • 4
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • G. Cooper, E. Herskovitz, A Bayesian method for the induction of probabilistic networks from data, Mach. Learn. 9 (1992) 30-347.
    • (1992) Mach. Learn. , vol.9 , pp. 30-347
    • Cooper, G.1    Herskovitz, E.2
  • 5
    • 0026632799 scopus 로고
    • Stochastic trees: A new technique for temporal medical decision modeling
    • G. Hazen, Stochastic trees: A new technique for temporal medical decision modeling, Med. Decis. Mak. 12 (1992) 163-178.
    • (1992) Med. Decis. Mak. , vol.12 , pp. 163-178
    • Hazen, G.1
  • 6
    • 0003846045 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Microsoft Research
    • D. Heckerman, D. Geiger, D. Chichering, Learning Bayesian networks: the combination of knowledge and statistical data, Technical Report MSR-TR-94-09, Microsoft Research, 1994.
    • (1994) Technical Report MSR-TR-94-09
    • Heckerman, D.1    Geiger, D.2    Chichering, D.3
  • 7
    • 0008486486 scopus 로고
    • Markov cycle trees: A new representation for complex Markov processes
    • J. Hollenberg, Markov cycle trees: A new representation for complex Markov processes, Med. Decis. Mak. 4 (1984) 163-178.
    • (1984) Med. Decis. Mak. , vol.4 , pp. 163-178
    • Hollenberg, J.1
  • 9
    • 58149210716 scopus 로고
    • The em algorithm for graphical association models with missing data
    • S. Lauritzen, The em algorithm for graphical association models with missing data, Comput. Stat. Data Anal. 19 (1995) 191-201.
    • (1995) Comput. Stat. Data Anal. , vol.19 , pp. 191-201
    • Lauritzen, S.1
  • 11
    • 0003400299 scopus 로고
    • An integrated approach to dynamic decision making under uncertainty
    • MIT Laboratory for Computer Science, 545 Technology Square, Cambridge, MA 02139, August
    • Tze-Yun Leong, An integrated approach to dynamic decision making under uncertainty, Technical Report TR 631, MIT Laboratory for Computer Science, 545 Technology Square, Cambridge, MA 02139, August 1994.
    • (1994) Technical Report TR 631
    • Leong, T.-Y.1
  • 13
    • 0011990814 scopus 로고
    • Approach to therapy of large bowel cancer
    • S.F. Phillips, J.H. Pemberton, R.G. Shorter (Eds.), Raven Press
    • B. Levin, Approach to therapy of large bowel cancer, in: S.F. Phillips, J.H. Pemberton, R.G. Shorter (Eds.), The Large Intestine: Physiology, Pathophysiology and Disease, Raven Press, 1991, pp. 687-695.
    • (1991) The Large Intestine: Physiology, Pathophysiology and Disease , pp. 687-695
    • Levin, B.1
  • 14
    • 1842292106 scopus 로고    scopus 로고
    • Use of influence diagrams to structure medical decisions
    • R. Nease, D. Owens, Use of influence diagrams to structure medical decisions, Med. Decis. Mak. 17 (1997) 263-275.
    • (1997) Med. Decis. Mak. , vol.17 , pp. 263-275
    • Nease, R.1    Owens, D.2
  • 15
    • 0030952509 scopus 로고    scopus 로고
    • Representation and analysis of medical decision problems with influence diagrams
    • D. Owens, R. Shachter, R. Nease, Representation and analysis of medical decision problems with influence diagrams, Med. Decis. Mak. 17 (1997) 241-262.
    • (1997) Med. Decis. Mak. , vol.17 , pp. 241-262
    • Owens, D.1    Shachter, R.2    Nease, R.3
  • 16
    • 0027558641 scopus 로고
    • Dynamic network construction and updating techniques for the diagnosis of acute abdominal pain
    • G.M. Provan, J.R. Clarke, Dynamic network construction and updating techniques for the diagnosis of acute abdominal pain, IEEE Trans. Pattern Anal. Mach. Intell. 15 (3) (1993) 299-307.
    • (1993) IEEE Trans. Pattern Anal. Mach. Intell. , vol.15 , Issue.3 , pp. 299-307
    • Provan, G.M.1    Clarke, J.R.2
  • 17
    • 0344052420 scopus 로고
    • Model selection for diagnosis and treatment using temporal influence diagram
    • P. Cheesman, R.W. Oldford (Eds.), Selecting Models from Data: Artificial Intelligence and Statistics IV, Springer
    • Gregory M. Provan, Model selection for diagnosis and treatment using temporal influence diagram, in: P. Cheesman, R.W. Oldford (Eds.), Selecting Models from Data: Artificial Intelligence and Statistics IV, Lecture Notes in Statistics 89, Springer, 1994, pp. 133-142.
    • (1994) Lecture Notes in Statistics , vol.89 , pp. 133-142
    • Provan, G.M.1
  • 19
    • 0005488419 scopus 로고    scopus 로고
    • Robust learning with missing data
    • Knowledge Media Institute, The Open University
    • M. Ramoni, P. Sebastiani, Robust learning with missing data, Technical report, Knowledge Media Institute, The Open University, 1996.
    • (1996) Technical Report
    • Ramoni, M.1    Sebastiani, P.2
  • 20
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • R. Shachter, Evaluating influence diagrams, Oper. Res. 34 (1986) 871-882.
    • (1986) Oper. Res. , vol.34 , pp. 871-882
    • Shachter, R.1
  • 22
    • 84986980101 scopus 로고
    • Sequential updating of conditional probabilities on directed graphical structures
    • D.J. Spiegelhalter, S.L. Lauritzen, Sequential updating of conditional probabilities on directed graphical structures, Networks 20 (1990) 157-224.
    • (1990) Networks , vol.20 , pp. 157-224
    • Spiegelhalter, D.J.1    Lauritzen, S.L.2
  • 23
    • 0025399873 scopus 로고
    • Dynamic programming and influence diagrams
    • J. Tatman, R. Shachter, Dynamic programming and influence diagrams, IEEE Trans. Syst., Man Cybern. 20 (2) (1990) 365-379.
    • (1990) IEEE Trans. Syst., Man Cybern. , vol.20 , Issue.2 , pp. 365-379
    • Tatman, J.1    Shachter, R.2
  • 24
    • 84947355523 scopus 로고
    • The assessment of prior distributions in Bayesian analysis
    • R. Winkler, The assessment of prior distributions in Bayesian analysis, Am. Stat. Assoc. 62 (1967) 776-800.
    • (1967) Am. Stat. Assoc. , vol.62 , pp. 776-800
    • Winkler, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.