Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...
Introduction People diagnosed with tuberculosis (TB) after death (postmortem) experience the ultimate diagnostic delay. We ...
Missing a night of sleep leaves a specific chemical signature in saliva that can be reliably detected with a high degree of ...
Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...
Abstract: Fake news is spreading more widely as a result of the exponential rise of digital news content, which is a major danger to public trust and democratic societies. This project offers a ...
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