BACKGROUND Tracheal stenosis is still a serious consequence of endotracheal intubation. Previous classification systems are commonly descriptive and are not intended to deal with management approach. The aim of this study was to present a classification system for post intubation tracheal stenosis and evaluate its efficacy in distinguishing critically ill patients who need surgical intervention...

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Background & Objective: Patient’s rights seem to be accepted theoretically, but often neglected in practice. Respect to patient’s rights by health care providers may optimize health outcomes and quality of life and create a perfect connection between health care services and patients needs as well as their expectations. This study was aimed to identify deficits in respect to patientschr('39') r...

This paper describes our participation in TREC 2007 Blog Track Tasks: Opinion retrieval and Polarity classification. As for Opinion retrieval task, a two-step approach is used to retrieve opinion relevant blog unit (that is blog post and its comments) given a query after filtering Spam blog and extracting blog unit. With Polarity Classification, Drag-push [1] based classifier is employed to get...

The paper presents a multimodal approach for biometric authentication, based on multiple classifiers. The proposed solution uses a post-classification biometric fusion method in which the biometric data classifiers outputs are combined in order to improve the overall biometric system performance by decreasing the classification error rates. The paper shows also the biometric recognition task im...

This paper characterizes public and private monitoring technologies with respect to which the efficient outcome is approximately implementable in team production by way of ex post budget-balanced linear transfers. JEL Classification: D21, D23, D82.

This paper presents a simplified post-classification framework for enhancing the performance of a given speaker recognition classifier by means of other “auxiliary” classifiers. We call it Virtual Fusion, since the assisting classifiers are used only for training the post-classifier and are not necessary in operating mode. Experiments performed using Nist’04 and ’05 evaluations suggest that the...

Online debate forums provide a rich collection of differing opinions on various topics. In dual-sided debates, users present their opinions or judge other’s opinions to support their stance. In this paper, we examine the use of users’ intentions and debate structure for stance classification of the debate posts. We propose a domain independent approach to capture users’ intent at sentence level...