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BACKGROUND Many MetS related biomarkers had been discovered, which provided the possibility for building the MetS prediction model. In this paper we aimed to develop a novel routine biomarker-based risk prediction model for MetS in urban Han Chinese population. METHODS Exploring Factor analysis (EFA) was firstly conducted in MetS positive 13,345 males and 3,212 females respectively for extrac...
This article proposes a Bayesian neural network approach to determine the risk of re-intervention after endovascular aortic aneurysm repair surgery. The target of proposed technique is to determine which patients have high chance to re-intervention (high-risk patients) and which are not (low-risk patients) after 5 years of the surgery. Two censored datasets relating to the clinical conditions o...
OBJECTIVE To implement a customizable checklist in an interdisciplinary, team-based plastic surgery setting to reduce surgical complications. METHODS We examined the effects on patient outcomes and documentation of a customizable, office-based surgical safety checklist. On the basis of the World Health Organization Surgical Safety Checklist, we developed a 28-element, perioperative checklist ...
We thank Drs. Selinger, Leong and McLaughlin for their interest and insightful comments on our work. Their previous study on patients' understanding and preference on methods of conveying statistical information is truly a pioneering work on this topic in the area of inflammatory bowel disease. The study shows the preference of patients for relative risk reduction (RR) over optical illustration...
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