Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Ensuring machine learning models are trustworthy is no easy task but it is essential as use of these models becomes ubiquitous across society, writes Dr Adrian Byrne. The importance of ensuring that ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...