background: identification of disease risk factors can help in the prevention of diseases. in assessing the predictive value of continuous variables, a routine procedure is to categorize the factors. this yield to inability to detect non‑linear relationship, if exist. multivariate fractional polynomial (mfp) modeling is a flexible method to reveal non‑linear associations. we aim to demonstrate ...

Advancing metallic glass materials research and development with artificial intelligence

INTRODUCTION The optimal performance of cardiovascular disease (CVD) risk models in various populations (such as the Framingham Heart Sheet or the ESC SCORE) is of major interest in risk prediction modeling nowadays. We evaluated whether the inclusion of socioeconomic status (SES) in the HellenicSCORE would increase the accuracy of prediction, irrespectively of dietary information and the class...

Sir, We read with interest the study of Becker et al. on the added predictive value of biphasic events in ST analysis (STAN) (1). The authors used the cardiotocography (CTG) arm of the Swedish randomized controlled trial where STAN was recorded, but blinded for the clinician. Cases with Biphasic ST and concomitant CTG abnormalities indicating intervention were compared with all remaining cases ...

The use of advanced statistical methods and artificial intelligence including machine learning enables researchers to identify preoperative characteristics predictive patients achieving minimal clinically important differences in health outcomes after interventions surgery. Machine uses algorithms recognize patterns data sets predict outcomes. advantages are the ability, using “big data” regist...

BACKGROUND Studies have reported that the predictive ability of self-rated health (SRH) for mortality varies by sex/gender and socioeconomic group. The purpose of this study is to evaluate this relationship in Japan and explore the potential reasons for differences between the groups. METHODOLOGY/PRINCIPAL FINDINGS The analyses in the study were based on the Aichi Gerontological Evaluation St...