Research findings are available online in the journal Science Advances. The original story “ Scientists find a new way to ...
EXtreme Gradient Boosting (XGBoost), a machine learning model, outperformed more traditional methods for predicting composite major adverse events (MAEs) and many individual events in patients ...
The first 18 days of chemotherapy drove the largest reorganization of the CSF metabolome. Chemotherapy for pediatric acute lymphoblastic leukemia (ALL) induces rapid and durable alterations in ...
ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
Sarcopenia has a high incidence among patients undergoing maintenance hemodialysis (MHD), significantly increasing the risk of falls, fractures, and mortality. Traditional diagnostic methods, however, ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Abstract: This research presents a hybrid framework combining machine learning and cryptographic techniques for privacy-preserving spam email classification. Logistic Regression (LR) and Support ...
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