introduction: ventilator-associated pneumonia (vap) is one of the most popular nosocomial infections in the intensive care units and the nurse’s role in preventing it is very important. the aim of this study was to compare the effect of two methods of face to face training and work- shop clinical guidelines in prevention of vap. methods: in this experimental randomized clinical trial, the knowl...

Classification of online news, in the past, has often been done manually. In our proposed Categorizor system, we have experimented an automated approach to classify online news using the Support Vector Machine (SVM). SVM has been shown to deliver good classification results when ample training documents are given. In our research, we have applied SVM to personalized classification of online new...

INTRODUCTION Attentional bias, the tendency that a person has to drive or maintain attention to a specific class of stimuli, may play an important role in the etiology and persistence of mental disorders. Attentional bias modification has been studied as a form of additional treatment related to automatic processing. OBJECTIVES This systematic literature review compared and discussed methods,...

In this ongoing work, we investigate a model that applies the perceptron training rule for extraction of keywords from abstracts and titles. We have tested our model on a set of abstracts of Academic papers containing keywords composed by the authors. Current results have not indicated any success of our learning approach.

clinical training provides the possibility of learning a wide range of important diseases that doctors may encounter in their future career. the present study was conducted to analyze the viewpoint of the students on the outpatient clinical training. this descriptive study was carried out on 109 medical students during internship using convenience sampling. data were collected by a questionnair...

There has been an increasing interest in tools for automating the annotation of databases. Machine learning techniques are promising candidates to help curators to, at least, guide the process of annotation which is mostly done manually. Following previous works on automated annotation using symbolic machine learning techniques, the present work deals with a common problem in machine learning: ...

This paper reports the study results on neural network training algorithm of numerical optimization techniques multiface detection in static images. The training algorithms involved are scale gradient conjugate backpropagation, conjugate gradient backpropagation with Polak-Riebre updates, conjugate gradient backpropagation with Fletcher-Reeves updates, one secant backpropagation and resilent ba...

Personalized classification refers to allowing users to define their own categories and automating the assignment of documents to these categories. In this paper, we examine the use of keywords to define personalized categories and propose the use of Support Vector Machine (SVM) to perform personalized classification. Two scenarios have been investigated. The first assumes that the personalized...