메뉴 건너뛰기




Volumn 11, Issue 3, 1998, Pages 191-218

Intelligent data analysis for medical diagnosis: Using machine learning and temporal abstraction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DATA REDUCTION; LEARNING SYSTEMS; MEDICAL COMPUTING;

EID: 0032255089     PISSN: 09217126     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (36)

References (97)
  • 1
  • 4
    • 0029830803 scopus 로고    scopus 로고
    • Medical informatics, art or science?
    • J.H. van Bemmel, Medical informatics, art or science? Meth. Inform. Med. 35 (1996), 157-172.
    • (1996) Meth. Inform. Med. , vol.35 , pp. 157-172
    • Van Bemmel, J.H.1
  • 5
    • 0023467018 scopus 로고
    • Learning diagnostic rules from incoplete and noisy data
    • B. Phelps, ed., Gower Technical Press, London
    • I. Bratko and I. Kononenko, Learning diagnostic rules from incoplete and noisy data, in: AI Methods in Statistics, B. Phelps, ed., Gower Technical Press, London, 1987.
    • (1987) AI Methods in Statistics
    • Bratko, I.1    Kononenko, I.2
  • 8
    • 0003006556 scopus 로고
    • Estimating probabilities: A crucial task in machine learning
    • Stockholm
    • B. Cestnik, Estimating probabilities: a crucial task in machine learning, Proc. European Conf. on Artificial Intelligence, Stockholm, 1990, pp. 147-149.
    • (1990) Proc. European Conf. on Artificial Intelligence , pp. 147-149
    • Cestnik, B.1
  • 9
    • 0001929348 scopus 로고
    • ASSISTANT 86: A knowledge elicitation tool for sophisticated users
    • I. Bratko and N. Lavrač, eds, Sigma Press, Wilmslow
    • B. Cestnik, I. Kononenko and I. Bratko, ASSISTANT 86: A knowledge elicitation tool for sophisticated users, in: Progress in Machine Learning, I. Bratko and N. Lavrač, eds, Sigma Press, Wilmslow, 1987.
    • (1987) Progress in Machine Learning
    • Cestnik, B.1    Kononenko, I.2    Bratko, I.3
  • 10
    • 0020884564 scopus 로고
    • Conceptual representation of medical knowledge for diagnosis by computer MDX and related systems
    • B. Chandrasekaran and S. Mittal, Conceptual representation of medical knowledge for diagnosis by computer MDX and related systems, Advances in Computers 22 (1983), 217-293.
    • (1983) Advances in Computers , vol.22 , pp. 217-293
    • Chandrasekaran, B.1    Mittal, S.2
  • 11
    • 0022226575 scopus 로고
    • Heuristic classification
    • W.J. Clancey, Heuristic classification, Artificial Intelligence 27 (1985), 289-350.
    • (1985) Artificial Intelligence , vol.27 , pp. 289-350
    • Clancey, W.J.1
  • 13
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark and T. Niblett, The CN2 induction algorithm, Machine Learning 3(4) (1989), 261-283.
    • (1989) Machine Learning , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 14
    • 77953071922 scopus 로고
    • Learning symbolic rules using artificial neural networks
    • Morgan Kaufmann, Amherst, MA
    • M.W. Craven and J.W. Shavlik, Learning symbolic rules using artificial neural networks, in: Proc. 10th Intern. Conf. on Machine Learning, Morgan Kaufmann, Amherst, MA, 1993, pp. 73-80.
    • (1993) Proc. 10th Intern. Conf. on Machine Learning , pp. 73-80
    • Craven, M.W.1    Shavlik, J.W.2
  • 15
    • 0038095167 scopus 로고
    • Knowledge acquisition in rule-based systems: Knowledge representation as a basis for system construction and maintainance
    • M.E. Shine and M.J. Coombs, eds, Academic Press
    • R. Davis, Knowledge acquisition in rule-based systems: Knowledge representation as a basis for system construction and maintainance, in: Designing for Human-Computer Communication, M.E. Shine and M.J. Coombs, eds, Academic Press, 1978, pp. 87-137.
    • (1978) Designing for Human-Computer Communication , pp. 87-137
    • Davis, R.1
  • 16
    • 0038434017 scopus 로고
    • TEIRESIAS: Experiments in communicating with a knowledge-based systems
    • D.A. Waterman and F. Hayes-Roth, eds, Academic Press
    • R. Davis, TEIRESIAS: Experiments in communicating with a knowledge-based systems, in: Pattern Directed Inference Systems, D.A. Waterman and F. Hayes-Roth, eds, Academic Press, 1983, pp. 99-134.
    • (1983) Pattern Directed Inference Systems , pp. 99-134
    • Davis, R.1
  • 19
    • 0030289446 scopus 로고    scopus 로고
    • Data minning and knowledge discovery in databases
    • U.M. Fayyad and R. Uthurusamy, Data minning and knowledge discovery in databases (editorial), Communications of the ACM 39(11) (1996), 24-26.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 24-26
    • Fayyad, U.M.1    Uthurusamy, R.2
  • 20
    • 0030285403 scopus 로고    scopus 로고
    • The KDD process for extracting useful knwoledge from volumes of data
    • U.M. Fayyad, G. Piatetsky-Shapiro and P. Smyth, The KDD process for extracting useful knwoledge from volumes of data, Communications of the ACM 39(11) (1996), 27-11.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 27-111
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 21
    • 2442731714 scopus 로고
    • The art of artificial intelligence 1: Themes and case studies of knowledge engineering
    • Pub. No. STAN-SC-77-621, Stanford University, Department of Computer Science
    • E.A. Feigenbaum, The art of artificial intelligence 1: Themes and case studies of knowledge engineering, Technical Report, Pub. No. STAN-SC-77-621, Stanford University, Department of Computer Science, 1977.
    • (1977) Technical Report
    • Feigenbaum, E.A.1
  • 23
    • 0001790815 scopus 로고
    • Knowledge discovery in databases: An overview
    • G. Piatetsky-Shapiro and W. Frawley, eds, The AAAI Press, Menlo Park, CA
    • W. Frawley, G. Piatetsky-Shapiro and C. Matheus, Knowledge discovery in databases: An overview, in: Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W. Frawley, eds, The AAAI Press, Menlo Park, CA, 1991.
    • (1991) Knowledge Discovery in Databases
    • Frawley, W.1    Piatetsky-Shapiro, G.2    Matheus, C.3
  • 27
    • 0030679710 scopus 로고    scopus 로고
    • Effective data validation of high-frequency data: Time-point-, time-interval-, and trend-based methods
    • Time-Oriented Systems in Medicine
    • W. Horn, S. Miksch, G. Egghart, C. Popow and F. Paky, Effective data validation of high-frequency data: Time-point-, time-interval-, and trend-based methods, Computer in Biology and Medicine, Special Issue: Time-Oriented Systems in Medicine 27(5) (1997), 389-409.
    • (1997) Computer in Biology and Medicine , vol.27 , Issue.5 SPEC. ISSUE , pp. 389-409
    • Horn, W.1    Miksch, S.2    Egghart, G.3    Popow, C.4    Paky, F.5
  • 30
    • 0025887082 scopus 로고
    • Combining physiologic models and symbolic methods to interpret time-varying patient data
    • G.M. Kahn, L.M. Fagan and L.B. Sheiner, Combining physiologic models and symbolic methods to interpret time-varying patient data, Meth. Inform. Med. 30 (1991), 167-178.
    • (1991) Meth. Inform. Med. , vol.30 , pp. 167-178
    • Kahn, G.M.1    Fagan, L.M.2    Sheiner, L.B.3
  • 33
    • 0030187249 scopus 로고    scopus 로고
    • Special issue on temporal reasoning in medicine
    • E.T. Keravnou, ed., Special issue on temporal reasoning in medicine, Artificial Intelligence in Medicine 8(3) (1996), 187-326.
    • (1996) Artificial Intelligence in Medicine , vol.8 , Issue.3 , pp. 187-326
    • Keravnou, E.T.1
  • 34
    • 0005048958 scopus 로고    scopus 로고
    • Engineering time in medical knowledge-based systems through time-axes and time-objects
    • IEEE Computer Society Press
    • E.T. Keravnou, Engineering time in medical knowledge-based systems through time-axes and time-objects, in: Proc. TIME-96, IEEE Computer Society Press, 1996, pp. 160-167.
    • (1996) Proc. TIME-96 , pp. 160-167
    • Keravnou, E.T.1
  • 35
    • 0005065325 scopus 로고    scopus 로고
    • An ontology of time using time-axes and time-objects as primitives
    • Department of Computer Science, University of Cyprus
    • E.T. Keravnou, An ontology of time using time-axes and time-objects as primitives. Technical Report TR-96-9, Department of Computer Science, University of Cyprus, 1996.
    • (1996) Technical Report TR-96-9
    • Keravnou, E.T.1
  • 36
    • 0005010887 scopus 로고    scopus 로고
    • Temporal abstraction of medical data: Deriving periodicity
    • N. Lavrač, E.T. Keravnou and B. Zupan, eds. Kluwer Academic Publishers
    • E.T. Keravnou, Temporal abstraction of medical data: Deriving periodicity, in: Intelligent Data Analysis in Medicine and Pharmacology, N. Lavrač, E.T. Keravnou and B. Zupan, eds. Kluwer Academic Publishers, 1997, pp. 61-79.
    • (1997) Intelligent Data Analysis in Medicine and Pharmacology , pp. 61-79
    • Keravnou, E.T.1
  • 40
    • 84976041906 scopus 로고
    • What is a deep expert system: An analysis of the architectural requirements of second generation expert systems
    • E.T. Keravnou and J. Washbrook, What is a deep expert system: An analysis of the architectural requirements of second generation expert systems, Knowledge Engineering Review 4(3) (1989), 205-233.
    • (1989) Knowledge Engineering Review , vol.4 , Issue.3 , pp. 205-233
    • Keravnou, E.T.1    Washbrook, J.2
  • 42
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • Aberdeen, D. Sleeman and P. Edwards, eds, Morgan Kaufmann
    • K. Kira and L. Rendell, A practical approach to feature selection, in: Proc. Intern. Conf. on Machine Learning, Aberdeen, D. Sleeman and P. Edwards, eds, Morgan Kaufmann, 1992, pp. 249-256.
    • (1992) Proc. Intern. Conf. on Machine Learning , pp. 249-256
    • Kira, K.1    Rendell, L.2
  • 43
    • 0003036517 scopus 로고
    • The feature selection problem: Traditional methods and new algorithm
    • San Jose, CA
    • K. Kira and L. Rendell, The feature selection problem: Traditional methods and new algorithm, in: Proc. AAAI '92, San Jose, CA, 1992.
    • (1992) Proc. AAAI '92
    • Kira, K.1    Rendell, L.2
  • 44
    • 85031799549 scopus 로고
    • Semi-naive Bayesian classifier
    • Y. Kodratoff, ed. Springer-Verlag, Porto
    • I. Kononenko, Semi-naive Bayesian classifier, in: Proc. European Working Session on Learning-91, Y. Kodratoff, ed. Springer-Verlag, Porto, 1991, pp. 206-219.
    • (1991) Proc. European Working Session on Learning-91 , pp. 206-219
    • Kononenko, I.1
  • 45
    • 0027682531 scopus 로고
    • Inductive and Bayesian learning in medical diagnosis
    • I. Kononenko, Inductive and Bayesian learning in medical diagnosis, Applied Artificial Intelligence 7 (1993), 317-337.
    • (1993) Applied Artificial Intelligence , vol.7 , pp. 317-337
    • Kononenko, I.1
  • 46
    • 84992726552 scopus 로고
    • Estimating attributes: Analysis and extensions of Relief
    • Catania, L. De Raedt and F. Bergadano, eds, Springer-Verlag
    • I. Kononenko, Estimating attributes: Analysis and extensions of Relief, in: Proc. European Conf. on Machine Learning, Catania, L. De Raedt and F. Bergadano, eds, Springer-Verlag, 1994, pp. 171-182.
    • (1994) Proc. European Conf. on Machine Learning , pp. 171-182
    • Kononenko, I.1
  • 47
    • 0025803268 scopus 로고
    • Information based evaluation criterion for classifier's performance
    • I. Kononenko and I. Bratko, Information based evaluation criterion for classifier's performance, Machine Learning 6(1) (1991), 67-80.
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 67-80
    • Kononenko, I.1    Bratko, I.2
  • 49
    • 0002485248 scopus 로고    scopus 로고
    • Application of machine learning to medical diagnosis
    • R.S. Michalski, I. Bratko and M. Kubat, eds. Willey
    • I. Kononenko, I. Bratko and M. Kukar, Application of machine learning to medical diagnosis, in: Machine Learning and Data Mining: Methods and Applications, R.S. Michalski, I. Bratko and M. Kubat, eds. Willey, 1998, pp. 389-408.
    • (1998) Machine Learning and Data Mining: Methods and Applications , pp. 389-408
    • Kononenko, I.1    Bratko, I.2    Kukar, M.3
  • 50
    • 2442749507 scopus 로고
    • A physiological rule-based system for interpreting pulmonary function test results
    • Stanford HPP Memo HPP-78-19
    • J.C. Kunz et al., A physiological rule-based system for interpreting pulmonary function test results, Technical Report, Stanford HPP Memo HPP-78-19, 1978.
    • (1978) Technical Report
    • Kunz, J.C.1
  • 52
    • 84958040057 scopus 로고    scopus 로고
    • Temporal abstractions for diabetic patients management
    • Proc. AIME-97, Springer
    • C. Larizza, R. Bellazzi and A. Riva, Temporal abstractions for diabetic patients management, in: Proc. AIME-97, Lecture Notes in Artificial Intelligence, Vol. 1211, Springer, 1997, pp. 319-330.
    • (1997) Lecture Notes in Artificial Intelligence , vol.1211 , pp. 319-330
    • Larizza, C.1    Bellazzi, R.2    Riva, A.3
  • 53
    • 2442764513 scopus 로고
    • Second generation knowledge acqusition methods and their application to medicine
    • E.T. Keravnou, ed., Elsevier
    • N. Lavrač and I. Mozetič, Second generation knowledge acqusition methods and their application to medicine, in: Deep Models for Medical Knowledge Engineering, E.T. Keravnou, ed., Elsevier, 1992, pp. 177-199.
    • (1992) Deep Models for Medical Knowledge Engineering , pp. 177-199
    • Lavrač, N.1    Mozetič, I.2
  • 56
    • 0003046840 scopus 로고
    • A theory and methodology of inductive learning
    • R. Michalski, J. Carbonell and T. Mitchell, eds, Tioga, Palo Alto, CA
    • R. Michalski, A theory and methodology of inductive learning, in: Machine Learning: An Artificial Intelligence Approach, R. Michalski, J. Carbonell and T. Mitchell, eds, Vol. I, Tioga, Palo Alto, CA, 1983, pp. 83-134.
    • (1983) Machine Learning: An Artificial Intelligence Approach , vol.1 , pp. 83-134
    • Michalski, R.1
  • 57
    • 85005299854 scopus 로고
    • The multipurpose incremental learning system AQ15 and its testing application on three medical domains
    • Morgan Kaufmann, San Mateo, CA
    • R. Michalski, I. Mozetič, J. Hong and N. Lavrač, The multipurpose incremental learning system AQ15 and its testing application on three medical domains, in: Proc. Fifth National Conference on Artificial Intelligence, Morgan Kaufmann, San Mateo, CA, 1986, pp. 1041-1045.
    • (1986) Proc. Fifth National Conference on Artificial Intelligence , pp. 1041-1045
    • Michalski, R.1    Mozetič, I.2    Hong, J.3    Lavrač, N.4
  • 60
    • 0030294410 scopus 로고    scopus 로고
    • Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants
    • S. Miksch, W. Horn, C. Popow and F. Paky, Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants, Artificial Intelligence in Medicine 8 (1996), 543-576.
    • (1996) Artificial Intelligence in Medicine , vol.8 , pp. 543-576
    • Miksch, S.1    Horn, W.2    Popow, C.3    Paky, F.4
  • 61
    • 0021347120 scopus 로고
    • Internist-I/CADUCEUS: Problems facing expert consultant programs
    • R.A. Miller, Internist-I/CADUCEUS: Problems facing expert consultant programs, Meth. Inform. Med. 23 (1984), 9-14.
    • (1984) Meth. Inform. Med. , vol.23 , pp. 9-14
    • Miller, R.A.1
  • 62
    • 0020001973 scopus 로고
    • Internist-I, an experimental computer-based diagnostic consultant for general internal medicine
    • R.A. Miller, H.E. Pople and J.D. Myers, Internist-I, An experimental computer-based diagnostic consultant for general internal medicine, The New England Journal of Medicine 307(8) (1982), 468-476.
    • (1982) The New England Journal of Medicine , vol.307 , Issue.8 , pp. 468-476
    • Miller, R.A.1    Pople, H.E.2    Myers, J.D.3
  • 63
    • 0039073306 scopus 로고    scopus 로고
    • Problem-solving method reuse and assembly: From clinical monitoring to traffic control
    • Banff, Alberta, Canada
    • M. Molina and Y. Shahar, Problem-solving method reuse and assembly: From clinical monitoring to traffic control, in: Proc. Tenth Banff Knowledge Acquisition for Knowledge-based systems Workshop, Vol. 1, Banff, Alberta, Canada, 1996, pp. 7-1-7-20.
    • (1996) Proc. Tenth Banff Knowledge Acquisition for Knowledge-based Systems Workshop , vol.1 , pp. 71-720
    • Molina, M.1    Shahar, Y.2
  • 64
    • 0000640432 scopus 로고
    • Inductive logic programming
    • S. Muggleton, Inductive logic programming, New Generation Computing 8(4) (1991), 295-318.
    • (1991) New Generation Computing , vol.8 , Issue.4 , pp. 295-318
    • Muggleton, S.1
  • 65
    • 0002731919 scopus 로고
    • Harnessing the power of temporal abstraction in model-based diagnosis of dynamic systems
    • W. Nejdl and J. Gamper, Harnessing the power of temporal abstraction in model-based diagnosis of dynamic systems, in: Proc. ECAI-94, 1994, pp. 667-671.
    • (1994) Proc. ECAI-94 , pp. 667-671
    • Nejdl, W.1    Gamper, J.2
  • 66
    • 0020288772 scopus 로고
    • Modelling knowledge of the patient in acid-base and electrolyte disorders
    • P. Szolovits, ed., AAAS Selected Symposium Series, West View Press
    • R.S. Patil, P. Szolovits and W.B. Schwartz, Modelling knowledge of the patient in acid-base and electrolyte disorders, in: Artificial Intelligence in Medicine, P. Szolovits, ed., AAAS Selected Symposium Series, West View Press, 1982, pp. 345-348.
    • (1982) Artificial Intelligence in Medicine , pp. 345-348
    • Patil, R.S.1    Szolovits, P.2    Schwartz, W.B.3
  • 69
    • 0002957404 scopus 로고
    • Heuristic methods for imposing structure on ill structured problems: The structuring of medical diagnosis
    • P. Szolovits, ed., AAAS Selected Symposium Series, West View Press
    • H.E. Pople, Heuristic methods for imposing structure on ill structured problems: The structuring of medical diagnosis, in: Artificial Intelligence in Medicine, P. Szolovits, ed., AAAS Selected Symposium Series, West View Press, 1982, pp. 119-185.
    • (1982) Artificial Intelligence in Medicine , pp. 119-185
    • Pople, H.E.1
  • 70
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end-games
    • R.S. Michalski, J.G. Carbonell and T.M. Mitchell, eds, Tioga Publishing Company, Palo Alto
    • J.R. Quinlan, Learning efficient classification procedures and their application to chess end-games, in: Machine Learning: An Artificial Intelligence Approach, R.S. Michalski, J.G. Carbonell and T.M. Mitchell, eds, Tioga Publishing Company, Palo Alto, 1983.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Quinlan, J.R.1
  • 71
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan, Induction of decision trees, Machine Learning 1(1) (1986), 81-106.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 72
    • 85023557988 scopus 로고
    • Unknown attribute values in induction
    • Cornell University, Ithaca
    • J.R. Quinlan, Unknown attribute values in induction, in: Proc. 6th Int. Workshop on Machine Learning, Cornell University, Ithaca, 1989, pp. 164-168.
    • (1989) Proc. 6th Int. Workshop on Machine Learning , pp. 164-168
    • Quinlan, J.R.1
  • 74
    • 0002591462 scopus 로고
    • Lookahead feature construction for learning hard concepts
    • Morgan Kaufmann, Amherst, MA
    • H. Ragavan and L. Rendell, Lookahead feature construction for learning hard concepts, in: Proc. 10th Intern. Conf. on Machine Learning, Morgan Kaufmann, Amherst, MA, 1993, pp. 252-259.
    • (1993) Proc. 10th Intern. Conf. on Machine Learning , pp. 252-259
    • Ragavan, H.1    Rendell, L.2
  • 75
    • 0011874625 scopus 로고
    • BSc Thesis, University of Ljubljana, Faculty of Electrical Eng. & Computer Science, Ljubljana, Slovenia, in Slovene
    • M. Robnik, Constructive induction with decision trees, BSc Thesis, University of Ljubljana, Faculty of Electrical Eng. & Computer Science, Ljubljana, Slovenia, 1993 (in Slovene).
    • (1993) Constructive Induction with Decision Trees
    • Robnik, M.1
  • 78
    • 0024926452 scopus 로고
    • Using hindsight in medical decision making
    • IEEE Computer Society Press, New York
    • T.A. Russ, Using hindsight in medical decision making, in: Proc. Symposium on Computer Applications in Medical Care, IEEE Computer Society Press, New York, 1989, pp. 38-44.
    • (1989) Proc. Symposium on Computer Applications in Medical Care , pp. 38-44
    • Russ, T.A.1
  • 79
    • 0029411988 scopus 로고
    • Use of data abstraction methods to simplify monitoring
    • T.A. Russ, Use of data abstraction methods to simplify monitoring, Artificial Intelligence in Medicine 7 (1995), 497-514.
    • (1995) Artificial Intelligence in Medicine , vol.7 , pp. 497-514
    • Russ, T.A.1
  • 80
    • 2442721282 scopus 로고
    • Diagnostic planning and cancer management
    • Rep. No. TR-169. Laboratory for Computer Science, MIT, Massachusetts
    • C. Safrans, J. Desforges and P. Tsichlis, Diagnostic planning and cancer management. Rep. No. TR-169. Technical Report, Laboratory for Computer Science, MIT, Massachusetts, 1976.
    • (1976) Technical Report
    • Safrans, C.1    Desforges, J.2    Tsichlis, P.3
  • 81
    • 0003579476 scopus 로고
    • PhD thesis, Department of Computer Science, Stanford University (Report No. KSL-94-64 or STAN-CS-TR-94-1529)
    • Y. Shahar, A knowledge-based method for temporal abstraction of clinical data, PhD thesis, Department of Computer Science, Stanford University (Report No. KSL-94-64 or STAN-CS-TR-94-1529), 1994.
    • (1994) A Knowledge-based Method for Temporal Abstraction of Clinical Data
    • Shahar, Y.1
  • 83
    • 0030200817 scopus 로고    scopus 로고
    • Knowledge-based temporal abstraction in clinical domains
    • Y. Shahar and M.A. Musen, Knowledge-based temporal abstraction in clinical domains, Artificial Intelligence in Medicine 8(3) (1996), 267-298.
    • (1996) Artificial Intelligence in Medicine , vol.8 , Issue.3 , pp. 267-298
    • Shahar, Y.1    Musen, M.A.2
  • 85
    • 0342775580 scopus 로고    scopus 로고
    • Dynamic temporal interpretation contexts for temporal abstraction
    • IEEE Computer Society Press
    • Y. Shahar, Dynamic temporal interpretation contexts for temporal abstraction, in: Proc. TIME-96, IEEE Computer Society Press, 1996, pp. 64-71.
    • (1996) Proc. TIME-96 , pp. 64-71
    • Shahar, Y.1
  • 86
    • 0023421571 scopus 로고
    • Temporal logics in AI: Semantical and ontological considerations
    • Y. Shoham, Temporal logics in AI: Semantical and ontological considerations, Artificial Intelligence 33 (1987), 89-104.
    • (1987) Artificial Intelligence , vol.33 , pp. 89-104
    • Shoham, Y.1
  • 88
    • 0027576975 scopus 로고
    • The adolescence of AI in medicine: Will field come of age in the '90s?
    • E.H. Shortliffe, The adolescence of AI in medicine: Will field come of age in the '90s? Artificial Intelligence in Medicine 5(2) (1993), 93-106.
    • (1993) Artificial Intelligence in Medicine , vol.5 , Issue.2 , pp. 93-106
    • Shortliffe, E.H.1
  • 91
    • 0018000788 scopus 로고
    • Categorical and probabilistic reasoning in medical diagnosis
    • P. Szolovits and S.G. Pauker, Categorical and probabilistic reasoning in medical diagnosis, Artificial Intelligence 11 (1978).
    • (1978) Artificial Intelligence , vol.11
    • Szolovits, P.1    Pauker, S.G.2
  • 93
    • 0020374403 scopus 로고
    • Explanatory power of medical expert systems: Studies in the representation of causal relationships for clinical consultations
    • J.W. Wallis and E.H. Shortliffe, Explanatory power of medical expert systems: Studies in the representation of causal relationships for clinical consultations, Meth. Inform. Med. 21 (1982), 127-136.
    • (1982) Meth. Inform. Med. , vol.21 , pp. 127-136
    • Wallis, J.W.1    Shortliffe, E.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.