Modelling prognostic power of cardiac tests using rough sets

Artificial Intelligence in Medicine

Volumn 15, Issue 2, 1999, Pages 167-191

  Komorowski, Jan ^a   ØHrn, Aleksander ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Approximate reasoning; Model induction; Prognostic methods; Rough sets

Indexed keywords

COMPUTER SIMULATION; DIAGNOSIS; FORECASTING; PATIENT TREATMENT; STATISTICAL METHODS; THEORY;

PROGNOSTIC MODEL; ROUGH SETS;

CARDIOLOGY;

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER MODEL; COST CONTROL; DATA ANALYSIS; DIAGNOSTIC VALUE; HEART INFARCTION; HUMAN; INFORMATION SCIENCE; INFORMATION SYSTEM; MATHEMATICAL ANALYSIS; MEDICAL DECISION MAKING; PATIENT CODING; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STATISTICAL MODEL; VALIDATION PROCESS;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ANGINA PECTORIS; FEMALE; FORECASTING; HEALTH CARE COSTS; HEART; HEART ARREST; HEART FUNCTION TESTS; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; NEURAL NETWORKS (COMPUTER); PROGNOSIS; QUALITY OF HEALTH CARE; REFERRAL AND CONSULTATION; SENSITIVITY AND SPECIFICITY;

EID: 0033084127     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(98)00051-7     Document Type: Article

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