The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...