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History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...
Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.
A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...
Zainab Iyiola, a rising Nigerian researcher in petroleum engineering and data science, is gaining recognition on the global ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...
The authors apply machine learning techniques to credit bureau data and loan-specific variables to improve default prediction ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
Researchers developed a machine learning ... a model that requires only information readily available in the electronic health record (EHR) at the time of delivery, including data on demographics ...
Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches ...