Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...

Tailoring Therapy for Children With Neuroblastoma on the Basis of Risk Group Classification: Past, Present, and Future Machine learning (ML) has the potential to transform oncology and, more broadly, ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.

Military Operations Research, Vol. 29, No. 2 (2024), pp. 53-94 (42 pages) This paper presents a case study of how to use machine learning to provide actionable recommendations in the military ...