Medical applications of enhanced rule-based expert systems

被引：9
|
作者：
Lhotska, L [1 ]
Marik, V [1 ]
Vlcek, T [1 ]
机构：
[1] Czech Tech Univ, Gerstner Lab, Prague 16627 6, Czech Republic
来源：
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS | 2001年 / 63卷 / 1-2期
关键词：
diagnostic expert system; blackboard control; taxonomy control structure; inheritance mechanism; multi-agent approach; medical applications;
D O I：
10.1016/S1386-5056(01)00172-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper describes several types of efficiency enhancements of 'classical' rule-based diagnostic expert systems. The blackboard control structure enables to explore more knowledge bases of the same syntax in parallel, the taxonomy structures make fast zooming of attention possible and provide additional inference mechanism based on inheritance principles. The applicability of the enhancing techniques is documented by four case studies exploring the extended FEL-EXPERT shell in different tasks of medical decision-making. The authors consider the enhancing techniques as useful steps on the way from 'classical' diagnostic expert systems towards more complex multi-agent decision tools. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.
引用
收藏
页码：61 / 75
页数：15
相关论文
共 50 条
  • [1] PARALLEL IMPLEMENTATION OF RULE-BASED EXPERT SYSTEMS FOR INTERACTIVE APPLICATIONS
    LI, T
    [J]. PARALLEL COMPUTING, 1989, 10 (03) : 309 - 318
  • [2] PRINCIPLES OF RULE-BASED EXPERT SYSTEMS
    BUCHANAN, BG
    DUDA, RO
    [J]. ADVANCES IN COMPUTERS, 1983, 22 : 163 - 216
  • [3] AN OVERVIEW OF RULE-BASED EXPERT SYSTEMS
    DUDA, R
    [J]. AAPG BULLETIN-AMERICAN ASSOCIATION OF PETROLEUM GEOLOGISTS, 1982, 66 (10): : 1704 - 1704
  • [4] CONSISTENCY OF RULE-BASED EXPERT SYSTEMS
    BEZEM, M
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1988, 310 : 151 - 161
  • [5] ADMINISTERING RULE DEVELOPMENT IN RULE-BASED EXPERT SYSTEMS
    FINLAY, PN
    KING, M
    BURNETT, A
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1989, 40 (02) : 193 - 198
  • [6] Some applications of fuzzy logic iin rule-based expert systems
    Pham, TT
    Chen, GR
    [J]. EXPERT SYSTEMS, 2002, 19 (04) : 208 - 223
  • [7] On the Interpretability of Belief Rule-Based Expert Systems
    Cao, You
    Zhou, Zhijie
    Hu, Changhua
    He, Wei
    Tang, Shuaiwen
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (11) : 3489 - 3503
  • [8] ON THE SEMANTICS OF RULE-BASED EXPERT SYSTEMS WITH UNCERTAINTY
    KIFER, M
    LI, A
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1988, 326 : 102 - 117
  • [9] Efficiency enhancement of rule-based expert systems
    Lhotská, L
    Vlcek, T
    [J]. PROCEEDINGS OF THE 15TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, 2002, : 53 - 58
  • [10] Analogous fuzzy rule-based expert systems
    Vadiee, N
    AkbarzadehT, MR
    [J]. FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 1852 - 1857
12345