The limitations of decision trees and automatic learning in real world medical decision making

Studies in Health Technology and Informatics

Volumn 52, Issue , 1998, Pages 529-533

  Kokol, Peter ^a   Zorman, Milan ^a   Štiglic, Milojka Molan ^b   Malèiæ, Ivan ^c  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b UNIVERSITY MEDICAL CENTRE MARIBOR   (Slovenia)

^c KBC Zagreb   (Croatia)

Author keywords

Acidosis; Automatic Learning; Decision Making; Decision Trees; Medical Informatics

Indexed keywords

DATA MINING; DECISION TREES; LEARNING ALGORITHMS; MEDICAL PROBLEMS;

ACIDOSIS; ATTRIBUTE VALUES; AUTOMATIC-LEARNING; MEDICAL DECISION MAKING; MEDICAL INFORMATICS; METABOLIC ACIDOSIS; REAL WORLD SITUATIONS; TRAINING OBJECTS;

DECISION MAKING;

ACIDOSIS; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CHILD; DECISION SUPPORT SYSTEM; DECISION TREE; FEMALE; HUMAN; MALE; PREOPERATIVE CARE; PRESCHOOL CHILD; RESPIRATORY ACIDOSIS; RISK FACTOR;

ACIDOSIS; ACIDOSIS, RESPIRATORY; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHILD; CHILD, PRESCHOOL; DECISION MAKING, COMPUTER-ASSISTED; DECISION TREES; FEMALE; HUMANS; MALE; PREOPERATIVE CARE; RISK FACTORS;

EID: 84883663893     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-896-0-529     Document Type: Conference Paper

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