A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Manchester researchers have developed a systematic methodology to test whether AI can think logically in biomedical research, ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...

Abstract: Logistic Regression (LR) is a widely used statistical model for classification problems. However, its training and evaluation in a shared environment increase the possibility of information ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...