Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Abstract: Recent approaches, such as data augmentation, adversarial training, and transfer learning, have shown potential in addressing the issue of performance degradation caused by distributional ...
This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
Abstract: Healthcare fraud is a critical challenge, contributing significantly to rising healthcare costs and financial losses. This article proposes a hybrid architecture for healthcare fraud ...
Model achieved area under the curve values of 0.7577, 0.7595, and 0.7557 for one-, three-, and five-year survival predictions ...
Background: Depression is highly prevalent among nursing students (28.7%–30%). Although previous studies have identified multiple influencing factors, the lack of ...
When Americans can’t afford something, Washington loves to help buyers and ignore producers. Politicians might feel as if they are improving affordability, but the strategy creates a vicious cycle: ...
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