Two common models, the CURB-65 and BAP-65, had low predictive value in determining which patients with pneumonic chronic obstructive pulmonary disease would not survive. Common models used to predict ...
A health insurance claims-based risk assessment tool to predict patients’ first severe chronic obstructive pulmonary disease exacerbation has been developed and validated. Objectives: To develop and ...
Visualization of attention maps from the residual attention networks for the inspiratory convolutional neural network (I-CNN) and expiratory convolutional neural network (E-CNN) models. Attention maps ...
Researchers from Kumamoto University, Japan have succeeded in producing a mouse model that faithfully reproduces the pathologies of two intractable lung diseases, chronic obstructive pulmonary disease ...
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