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Admission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset
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Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study
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Machine learning in medicine—focus on radiology
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Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study
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Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network
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Effects of Digital Food Labels on Healthy Food Choices in Online Grocery Shopping
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Improving customer decisions in web-based e-commerce through guerrilla modding
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