BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Machine learning powers modern AI systems through data analysis, pattern recognition, training, testing, and continuous optimization. Industries increasingly use machine learning to automate tasks, ...

Abstract: Decision trees are popular as stand-alone classifiers or as base learners in ensemble classifiers. Mostly, this is due to decision trees having the advantage of being easy to explain. To ...

Abstract: In the so-called explained artificial intelligence, there is a need to build small models, but accurate and intuitive for the analyst. It is necessary to formalize, which models are ...

eTB Modelling Group, TB Centre, and Global Centre for Health Economics, London School of Hygiene and Tropical Medicine, London, United Kingdom ...

Some artificial intelligence algorithms, particularly neural networks, have internal processes that remain largely unknown. This lack of transparency is one of the sources of biases and hallucinations ...

The outcome of COVID-19 infection among Saudi oncology patients. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract does not include a full text component.

Mellon, J., and Worrell, C., 2023: Explainability in Cybersecurity Data Science. Software Engineering Institute blog, Accessed June 24, 2026, https://doi.org/10.58012 ...