Applying rough set theory to medical diagnosing

被引：0
|
作者：
Paszek, Piotr [1 ]
Wakulicz-Deja, Alicja [1 ]
机构：
[1] Univ Silesia, Inst Comp Sci, Bedzinska 39, PL-41200 Sosnowiec, Poland
来源：
ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS, PROCEEDINGS | 2007年 / 4585卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The work contains an example of applying the rough set theory to application of support decision making - diagnose Mitochondrial Encephalomyopathies (MEM) in a child. The resulting decision support system maximally limits the indications for invasive diagnostic methods that finally decide about diagnosis. Moreover, it shortens the time necessary for making diagnosis. System has arisen using induction (machine learning from examples) - one of the methods artificial intelligence.
引用
收藏
页码：427 / +
页数：3
相关论文
共 50 条
  • [31] Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets"
    Septem Riza, Lala
    Janusz, Andrzej
    Bergmeir, Christoph
    Cornelis, Chris
    Herrera, Francisco
    Slezak, Dominik
    Manuel Benitez, Jose
    INFORMATION SCIENCES, 2014, 287 : 68 - 89
  • [32] 3D Medical Image Segmentation Based on Rough Set Theory
    CHEN Shi-hao
    ChineseJournalofBiomedicalEngineering, 2007, (01) : 39 - 46
  • [33] Applying Rough Set Theory to Evaluate Network Marketing Performance of China's Agricultural Products
    Jiang, Hua
    Ruan, Junhu
    JOURNAL OF COMPUTERS, 2010, 5 (08) : 1264 - 1272
  • [34] Applying Rough Set Theory for Filtering Large Number of Coronary Artery Disease (CAD) Rules
    Fajriani, Alfiah
    Setiawan, Noor Akhmad
    Adji, Teguh Bharata
    2017 2ND INTERNATIONAL CONFERENCES ON INFORMATION TECHNOLOGY, INFORMATION SYSTEMS AND ELECTRICAL ENGINEERING (ICITISEE): OPPORTUNITIES AND CHALLENGES ON BIG DATA FUTURE INNOVATION, 2017, : 373 - 377
  • [35] Applying AI technology and rough set theory to mine association rules for supporting knowledge management
    Huang, Z
    Hu, YQ
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1820 - 1825
  • [36] Rough set theory applied to lattice theory
    Estaji, A. A.
    Hooshmandasl, M. R.
    Davvaz, B.
    INFORMATION SCIENCES, 2012, 200 : 108 - 122
  • [37] A new rough set theory: rough soft hemirings
    Zhan, Jianming
    Liu, Qi
    Davvaz, Bijan
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 28 (04) : 1687 - 1697
  • [38] Research on rough set theory extension and rough reasoning
    Jiang, YL
    Xu, CF
    Gou, J
    Li, ZX
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 5888 - 5893
  • [39] Advances in Rough Set Theory Preface
    Ciucci, Davide
    Yao, Yiyu
    FUNDAMENTA INFORMATICAE, 2011, 108 (3-4) : I - I
  • [40] Stochastic approach to rough set theory
    Ziarko, Wojciech
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS, 2006, 4259 : 38 - 48
12345