Objectives To assess physical and mental symptoms by ethnicity of a UK Armed Forces cohort. Design A retrospective, pooled ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Background Native aortic valve endocarditis continues to present significant operative challenges, often complicated by heart ...

BACKGROUND: Identifying and addressing barriers to antihypertensive medication adherence is critical for hypertension control ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients with acute kidney injury (AKI) after lung transplantation. By integrating ...

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...

SAN JOSÉ, Costa Rica--(BUSINESS WIRE)--Logistic Properties of the Americas (NYSE American: LPA) (together with its subsidiaries, “LPA” or the “Company”), announced today its unaudited consolidated ...

Experts say constant performance online is quietly fueling burnout. Here’s how to recognize it and what you can do to reset. You Posted It. They Liked It. So Why Do You Still Feel Empty? You’re not ...