Semi-automatic learning of simple diagnostic scores utilizing complexity measures

Artificial Intelligence in Medicine

Volumn 37, Issue 1, 2006, Pages 19-30

  Atzmueller, Martin ^a   Baumeister, Joachim ^a   Puppe, Frank ^a  

^a UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

Complexity measures; Data mining; Diagnostic scores; Knowledge discovery

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA MINING; KNOWLEDGE ACQUISITION; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS;

COMPLEXITY MEASURES; DIAGNOSTIC SCORES; KNOWLEDGE DISCOVERY;

LEARNING SYSTEMS;

ARTICLE; CONSULTATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC REASONING; DIAGNOSTIC TEST; DIAGNOSTIC VALUE; EVALUATION; LEARNING; LEARNING ENVIRONMENT; LEARNING STYLE; LEARNING THEORY; MATHEMATICAL COMPUTING; MEASUREMENT; MEDICAL SPECIALIST; PRIORITY JOURNAL; PROFESSIONAL KNOWLEDGE; REPRODUCIBILITY; SCORING SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; HUMANS; LIVER DISEASES;

EID: 33646087688     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2005.03.003     Document Type: Article

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