Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.
第一作者:
Valeria,Cantoni
第一单位:
Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
作者:
医学主题词
老年人(Aged);算法(Algorithms);镉(Cadmium);计算生物学(Computational Biology);冠状动脉疾病(Coronary Artery Disease);运动试验(Exercise Test);女(雌)性(Female);人类(Humans);男(雄)性(Male);中年人(Middle Aged);心肌灌注显像(Myocardial Perfusion Imaging);预后(Prognosis);碲(Tellurium);体层摄影术, 发射型计算机, 单光子(Tomography, Emission-Computed, Single-Photon);锌(Zinc)
DOI
10.1155/2021/5288844
PMID
34697554
发布时间
2024-04-03
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