Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Objectives Glaucoma is an optic neuropathy caused by the gradual degeneration of retinal ganglion cells. This study aimed to investigate the knowledge, attitude and practice (KAP) towards glaucoma ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

Logistic regression is a tool used in data science and machine learning to predict binary outcomes. Applications range from determining customer behaviors to diagnosing diseases. While the concept of ...

ABSTRACT: With the rapid growth of e-commerce and online transactions, e-commerce platforms face a critical challenge: predicting consumer behavior after purchase. This study aimed to forecast such ...