This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

background:     purpose:     methods:     results:     conclusion:     key words     journal of medical education summer   2004;5(2):59-61 our results warrant a more attentive approach to clinical skills (specially procedural skills) training all 250 interns who were eligible participated. over all 46.60% interns learned their clinical skills from residents or clinical teachers, 29.61% observed...

Robust optimization (RO) is a common approach to tractably obtain safeguarding solutions for problems with uncertain constraints. In this paper, we study statistical framework integrate data into RO based on learning prediction set using (combinations of) geometric shapes that are compatible established tools and simple data-splitting validation step achieves finite-sample nonparametric guarant...

This paper introduces a computer-based system that is designed to record a surgical procedure with multiple depth cameras and reconstruct in three dimensions the dynamic geometry of the actions and events that occur during the procedure. The resulting 3D-plus-time data takes the form of dynamic, textured geometry and can be immersively examined at a later time; equipped with a Virtual Reality h...