Ensemble approaches to classification and regression have attracted a great deal of interest in recent years. These methods can be shown both theoretically and empirically to outperform single predictors on a wide range of tasks. One of the elements required for accurate prediction when using an ensemble is recognised to be error "diversity". However, the exact meaning of this concept is not clear from the literature, particularly for classification tasks. In this paper we first review the varied attempts to provide a formal explanation of error diversity, including several heuristic and qualitative explanations in the literature. For completeness of discussion we include not only the classification literature but also some excerpts of the rather more mature regression literature, which we believe can still provide some insights. We proceed to survey the various techniques used for creating diverse ensembles, and categorise them, forming a preliminary taxonomy of diversity creation methods. As part of this taxonomy we introduce the idea of implicit and explicit diversity creation methods, and three dimensions along which these may be applied. Finally we propose some new directions that may prove fruitful in understanding classification error diversity.
Radiation-induced toxicity is a common adverse side effect of radiation therapy. Previous studies have demonstrated a lack of evidence to support common skincare advice for radiotherapy patients. The aim of the current study was to investigate the management of radiation-induced skin toxicity across Europe and the USA. Where previous surveys have focused on national practice or treatment of specific sites, the current study aimed to gain a broader representation of skincare practice. An anonymous online survey investigating various aspects of radiotherapy skincare management was distributed to departments across Europe and the USA (n = 181/737 responded i.e. 25%). The UK was excluded as a similar survey was carried out in 2011. The results highlight the lack of consistency in both the prevention and management of radiation-induced skin toxicity. Recommended products are often not based on evidence-based practice. Examples include the continued use of aqueous cream and gentian violet, as well as the recommendations on washing restrictions during treatment. To our knowledge, this is the most extensive survey to date on the current management of radiation-induced skin toxicity. This study highlights significant disparities between clinical practice and research-based evidence published in recent systematic reviews and guidelines. Ongoing large prospective randomised trials are urgently needed.
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