A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Forget the drug discovery hype. Here’s how the world’s largest pharma company is seeing a payoff from AI right now.
The Go for Bold initiative, which aims to help individuals in Washington County, Maryland, lose 1 million lb by 2030, serves as a successful, replicable model for community-wide health improvement. In ...
Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...
Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...
Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.
Alison Lumbatis shares strategies that helped transform her blog, Outfit Formulas, into a successful subscription business.
A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
About 30% of people with diabetes mellitus, including those with type 2 diabetes, develop skin issues related to the condition at some point. High blood sugar levels can lead to changes in blood ...
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