Abstract Training a machine learning algorithm on a class-imbalanced dataset can be a difficult task, a process that could prove even more challenging under conditions of high dimensionality.Feature extraction and data sampling are among the Collections most popular preprocessing techniques.Feature extraction is used to derive a richer set of reduc
A qualitative analysis of unintended effects of a digital conditional cash transfer intervention to encourage healthcare utilization in Southern Madagascar
Abstract Introduction Cash transfer interventions, including those using mobile money, are becoming increasingly widespread, particularly in Sub-Saharan Africa.As such interventions can have significant positive and negative unintended consequences, further analyses are needed to identify these consequences.Methods We investigated the unintended co
Supervision and feedback for junior medical staff in Australian emergency departments: findings from the emergency medicine capacity assessment study
Abstract Background Clinical supervision and feedback are important for the development of competency in junior doctors.This study aimed to determine the adequacy of supervision of junior medical staff in Australian emergency departments (EDs) and perceived feedback provided.Methods Semi-structured telephone surveys sought quantitative and qualitat