Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
This is a GitHub repository containing some deep learning models for ordinal regression (with pre-trained weights) in the PyTorch Hub / Torch Hub format. Note that this repository is not going to be a ...
Background: Inguinal hernia affects approximately 27% of men and 3% of women, with prevalence rising markedly after age 65 due to weakened abdominal walls and comorbidities such as chronic obstructive ...
Abstract: Due to the rapid development of deep learning techniques, no-reference image quality assessment (NR-IQA) has achieved significant improvement. NR-IQA aims to predict a real-valued variable ...
Abstract: The performance of medical image classification has been enhanced by deep convolutional neural networks (CNNs), which are typically trained with cross-entropy (CE) loss. However, when the ...
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