data envelopment analysis (dea) is a non-parametric method for assessing relative efficiency of decision-making units (dmus). every single decision-maker with the use of inputs produces outputs. these decision-making units will be defined by the production possibility set. resource allocation to dmus is one of the concerns of managers since managers can employ the results of this process to all...

  Data envelopment analysis (DEA) is a non-parametric method for assessing relative efficiency of decision-making units (DMUs). Every single decision-maker with the use of inputs produces outputs. These decision-making units will be defined by the production possibility set. Resource allocation to DMUs is one of the concerns of managers since managers can employ the results of this process to a...

Background As part of the EuroDRG project, researchers from eleven countries (i.e. Austria, England, Estonia, Finland, France, Germany, Ireland, Netherlands, Poland, Sweden, and Spain) compared how their Diagnosis-Related Groups (DRG) systems deal with cholecystectomy patients. The study aims to assist surgeons and national authorities to optimize their DRG systems.   Methods National or region...

In our daily lives, organizing resources into a set of categories is a common task. Organizing resources into categories makes searching through those resources easier by limiting the focus to a specific category. Limiting the focus significantly reduces the amount of information one must search. Categorization becomes more useful as the collection of resources increases, when managing resource...

We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering system could select the best type of resource from which to consider answers. We first describe our methodology for manually annotating resource t...

due to substantial effect of classification of resource models on future mine planning, one should come with an accurate method of estimation to guarantee that the minimum error is acquired in the estimation process. the known world class cu-mo deposit, sarcheshmeh porphyry deposit (central iran) selected as the study area. the hypogene zone of the deposit was chosen as the space in which estim...

due to substantial effect of classification of resource models on future mine planning, one should come with an accurate method of estimation to guarantee that the minimum error is acquired in the estimation process. the known world class cu-mo deposit, sarcheshmeh porphyry deposit (central iran) selected as the study area. the hypogene zone of the deposit was chosen as the space in which estim...

In this paper, we focus on the use of a proprietary resource for a document classification task. The objective is here to measure the impact of the addition of this resource as input for classification features. We show that the use of this resource impacts positively the classification results, for a limited impact on the feature number. Mots-clés : classification de documents, classification ...