BACKGROUND High-quality health care is safe, effective, efficient, timely, patient-centered, and equitable. A current focus on quality assessment and improvement in oncology care, specifically in surgical oncology, is aimed toward providing optimal health services that consistently fulfill these elements for cancer patients. METHODS In surgical oncology, outcomes have historically focused on ...

Aim. Describe the mechanisms currently being used by federal and provincial/territorial governments, medical associations, and private insurers to control the cost of health care in our country. Methods. Descriptive method used. Statistics on percentage GDP spent on health, and health status of the population, were compared with other OECD countries. Questions discussed: importance of cost cont...

The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Federal Highway Administration and the Indiana Department of Transportation. The report does not constitute a standard specification, or regulation. The following five methods o...

Rainfall-runoff modeling in ungauged basins continues to be a great hydrological research challenge. A novel approach is the Long-Short-Term-Memory neural network (LSTM) from Deep Learning toolbox, which few works have addressed its use for rainfall-runoff regionalization. This work aims discuss application of LSTM as regional method against traditional (FFNN) and conceptual models practical fr...

The IHACRES model has been successfully applied to many catchments across the UK including regionalization studies (e.g. Sefton and Howarth, 1998; Littlewood, 2003). However, while the previous formulation of the non-linear module performs well in calibration and simulation, the module has some identified deficiencies in the representation of the impacts of climate change on volume of streamflo...

This paper reviews almost four decades of contributions on the subject of supervised regionalization methods. These methods aggregate a set of areas into a predefined number of spatially contiguous regions while optimizing certain aggregation criteria. The authors present a taxonomic scheme that classifies a wide range of regionalization methods into eight groups, based on the strategy applied ...