A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, defining “excessive” as 16 or more hours per week. The research, drawn from ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Background: Colorectal cancer (CRC) is a leading cause of cancer-related death, with distant metastasis being the primary driver of mortality. Lung metastases are among the most frequent sites of ...
Background This study aimed to develop and validate a hybrid model integrating clinical features, vessel wall magnetic resonance imaging (VWMRI) characteristics, and radiomic features to predict the ...
Background Tricuspid regurgitation (TR) is a common finding in heart failure (HF) and is associated with adverse outcomes.