Abstract: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key ...
Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...
Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...
A fully integrated substance use disorders emergency department model in Stockholm generates significant post-acute treatment ...
Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...
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