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.

Introduction While a large proportion of buccal mucosa cancer (BMC) is attributed to tobacco use, the contribution of alcohol is little-known. In India, alcohols include internationally-recognised ...

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for recurrence after surgery.

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

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 ...

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 ...