Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

Random forest regression is an integrated learning method that combines multiple decision tree models into a more powerful model that can effectively avoid overfitting problems and can handle ...

On the other hand, random forest and bagging tree regression models seem to have a good reputation among machine learning practitioners (most of my colleagues at least) because the models often work ...

ML models were developed using random forest survival methods. The ground truth outcome was abnormal lymphocytosis associated with CLL and monoclonal B-cell lymphocytosis diagnosis: ALC ≥5 × 10 9 /L ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...