Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Objectives Cardiovascular diseases (CVDs) are a leading cause of mortality in Nepal. Risk perception is crucial for the prevention of CVD-related behaviours. This study assessed CVD risk perceptions ...

Objectives The TREAT EARLIER trial showed in clinically suspect arthralgia (CSA) that methotrexate induced reductions in ...

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 ...

Objective: To develop and validate a logistic regression model predicting postoperative malnutrition risk in elderly patients using clinical, dietary, and nutritional data. Table 1. Comparison of ...

ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem ...

Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...