Algorithms for feature selection fall into two broad categories: wrappers that use the learning
algorithm itself to evaluate the usefulness of features and filters that evaluate features …

Despite the profound and pervasive importance of trust in medical settings, there is no
commonly shared understanding of what trust means, and little is known about what difference …

Existing scales to measure trust in physicians have differing content and limited testing. To
improve on these measures, a large item pool (n = 78) was generated following a detailed …

Importance The recent and ongoing coronavirus disease 2019 (COVID-19) pandemic has
taken an unprecedented toll on adults critically ill with COVID-19 infection. While there is …

A central problem in machine learning is identifying a representative set of features from which
to construct a classification model for a particular task. This thesis addresses the problem …

Data engineering is generally considered to be a central issue in the development of data
mining applications. The success of many learning schemes, in their attempts to construct …

… Support for the research leading to this paper was provided to Mark Hall by the Robert
Wood Johnson Foundation’s Initiative to Strengthen the Patient-Provider Relationship. …

… Mark A. Hall …

Importance Refinement of criteria for multisystem inflammatory syndrome in children (MIS-C)
may inform efforts to improve health outcomes. Objective To compare clinical …

Objectives To develop evidence-based recommendations for clinicians caring for children (including
infants, school-aged children, and adolescents) with septic shock and other sepsis-…