An interpretable fuzzy rule-based classification methodology for medical diagnosis

Artificial Intelligence in Medicine

Volumn 47, Issue 1, 2009, Pages 25-41

  Gadaras, Ioannis ^a   Mikhailov, Ludmil ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Fuzzy rule extraction from data; Hierarchical and flexible input partitioning; Interpretable and scalable knowledge; Medical diagnosis

Indexed keywords

AUTOMATIC EXTRACTION; EXISTING METHOD; FUZZY CLASSIFICATION; FUZZY RULE EXTRACTION FROM DATA; HIERARCHICAL AND FLEXIBLE INPUT PARTITIONING; HIERARCHICAL FUZZY; INTERPRETABILITY; INTERPRETABLE AND SCALABLE KNOWLEDGE; INTERPRETABLE FUZZY RULES; MEDICAL DIAGNOSIS; MEDICAL DIAGNOSIS SYSTEM; NUMERICAL DATA; PARTITIONING MECHANISM; PATTERN CLASSIFICATION PROBLEMS; TRAINING PROCESS;

FUZZY RULES; KNOWLEDGE BASED SYSTEMS; LABELS; MEDICAL PROBLEMS;

DIAGNOSIS;

ACCURACY; ALGORITHM; ARTICLE; BREAST CANCER; CLASSIFICATION; DECISION MAKING; DIABETES MELLITUS; DIAGNOSTIC VALUE; FUZZY SYSTEM; KNOWLEDGE; LINGUISTICS; LIVER DISEASE; METHODOLOGY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; SYMPTOM;

ALGORITHMS; ARIZONA; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CLASSIFICATION; DATA COLLECTION; DIABETES MELLITUS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; GENETICS; HEMATOLOGIC TESTS; HUMANS; INDIANS, NORTH AMERICAN; LIVER FUNCTION TESTS; PREGNANCY; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 68249108418     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2009.05.003     Document Type: Article

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