Gone are the days when tennis analysis meant simply counting aces and double faults. Today’s data revolution is transforming ...

Learn how the Advanced Internal Rating-Based (AIRB) approach helps financial institutions internally assess credit risk using ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

People who persistently carry Staphylococcus aureus (S. aureus) in their nose have fewer species of other bacteria, while certain bacteria may help to prevent S. aureus colonization. These are the ...

Abstract: Cardiovascular disease remains a major global health issue requiring accurate early risk prediction to enable timely intervention. Traditional approaches ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

Dr. Yongmi Kim-Steinmann is an Information Scientist specializing in health informatics, health disparity, and knowledge management and discovery using machine learning, data mining, and other ...

Researchers in Sweden and Finland have created the CORE model, a simple blood test that predicts liver disease risk with striking accuracy. Unlike current methods, it works for the general population ...