Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

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

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

AI is the big idea, and machine learning is the engine that powers it Artificial intelligence (AI) is a broad term used to ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...