If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

Objective This study aimed to determine the characteristics of acute poisoning patients. Design This was a prospective cohort study. Setting The study was conducted for 1 year (1 July 2023 to 30 June ...

Objective: To investigate regional associations between peak alpha frequency (PAF) and poststroke cognitive impairment (PSCI) and evaluate PAF as an objective biomarker for cognitive assessment in ...

Abstract: Optimization algorithms are essential for machine learning models to enhance prediction accuracy. There is a surge in the number of people suffering from diabetes in this present day, it is ...

Abstract: Predicting clinical outcomes, particularly mortality risk, is a crucial aspect of patient care and management in the medical field. Numerous studies have employed various methods to improve ...

Aim: Uric acid to high density lipoprotein cholesterol ratio (UA/HDL-c) related to nutrient metabolism disorder is associated with the onset of diabetic complications including mild cognitive ...

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...