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Volumn 23, Issue 2, 2001, Pages 149-169
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Knowledge discovery approach to automated cardiac SPECT diagnosis
d
4cData
(United States)
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Author keywords
CLIP3 machine learning algorithm; Knowledge discovery and data mining; SPECT myocardial perfusion imaging
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Indexed keywords
ALGORITHMS;
CARDIOLOGY;
COMPUTERIZED TOMOGRAPHY;
DATA MINING;
DATABASE SYSTEMS;
IMAGE ANALYSIS;
KNOWLEDGE BASED SYSTEMS;
MYOCARDIAL PERFUSION;
SINGLE PROTON EMISSION COMPUTED TOMOGRAPHY (SPECT);
DIAGNOSIS;
THALLIUM 201;
ALGORITHM;
ARTICLE;
AUTOMATION;
CLINICAL STUDY;
CLINICAL TRIAL;
COMPUTER ASSISTED DIAGNOSIS;
COMPUTER SYSTEM;
CONTROLLED CLINICAL TRIAL;
CONTROLLED STUDY;
DATA BASE;
DIAGNOSTIC ACCURACY;
DIAGNOSTIC IMAGING;
DIAGNOSTIC PROCEDURE;
HEART LEFT VENTRICLE MUSCLE;
HEART MUSCLE PERFUSION;
HUMAN;
IMAGE ANALYSIS;
IMAGE PROCESSING;
INFORMATION PROCESSING;
INFORMATION SCIENCE;
MAJOR CLINICAL STUDY;
MEDICAL SPECIALIST;
PHYSICIAN;
PRIORITY JOURNAL;
SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY;
ARTIFICIAL INTELLIGENCE;
DATABASES, FACTUAL;
DECISION MAKING, COMPUTER-ASSISTED;
HUMANS;
MYOCARDIAL INFARCTION;
MYOCARDIAL REPERFUSION;
TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;
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EID: 0034807546
PISSN: 09333657
EISSN: None
Source Type: Journal
DOI: 10.1016/S0933-3657(01)00082-3 Document Type: Article |
Times cited : (229)
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References (20)
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