According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...