Artificial neural network modeling of stress single-photon emission computed tomographic imaging for detecting extensive coronary artery disease

American Journal of Cardiology

Volumn 95, Issue 2, 2005, Pages 178-181

  Allison, J Scott ^a   Heo, Jaekyeong ^a   Iskandrian, Ami E ^a  

^a UNIVERSITY OF ALABAMA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANGIOCARDIOGRAPHY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD VESSEL; CALCULATION; CONTROLLED STUDY; CORONARY ARTERY CIRCUMFLEX BRANCH; CORONARY ARTERY DISEASE; CORONARY ARTERY OBSTRUCTION; FEMALE; HUMAN; HYPOTHESIS; IMAGE ANALYSIS; LEFT ANTERIOR DESCENDING CORONARY ARTERY; MAJOR CLINICAL STUDY; MALE; MODEL; PATIENT; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RIGHT CORONARY ARTERY; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STRESS;

CORONARY ANGIOGRAPHY; CORONARY ARTERIOSCLEROSIS; EXERCISE TEST; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 11844267162     PISSN: 00029149     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amjcard.2004.09.003     Document Type: Article

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