Search results for "support"

The VIRSTA score, a prediction score to estimate risk of infective endocarditis and determine priority for echocardiography in patients with Staphylo…

2016

International audience; Objectives - To develop and validate a prediction score, to quantify, within 48 h of Staphylococcus aureus bacteremia (SAB) diagnosis, the risk of IE, and therefore determine priority for urgent echocardiography. Methods - Consecutive adult patients with SAB in 8 French university hospitals between 2009 and 2011 were prospectively enrolled and followed-up 3 months. A predictive model was developed and internally validated using bootstrap procedures. Results - Among the 2008 patients enrolled, 221 (11.0%) had definite IE of whom 39 (17.6%) underwent valve surgery, 25% of them within 6 days of SAB diagnosis. Ten predictors independently associated with IE were used to …

Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal

2020

Clinicians in molecular tumor boards (MTB) are confronted with a growing amount of genetic high-throughput sequencing data. Today, at German university hospitals, these data are usually handled in complex spreadsheets from which clinicians have to obtain the necessary information. The aim of this work was to gather a comprehensive list of requirements to be met by cBioPortal to support processes in MTBs according to clinical needs. Therefore, oncology experts at nine German university hospitals were surveyed in two rounds of interviews. To generate an interview guideline a scoping review was conducted. For visual support in the second round, screenshot mockups illustrating the requirements …

Defining classifier regions for WSD ensembles using word space features

2006

Based on recent evaluation of word sense disambiguation (WSD) systems [10], disambiguation methods have reached a standstill. In [10] we showed that it is possible to predict the best system for target word using word features and that using this 'optimal ensembling method' more accurate WSD ensembles can be built (3-5% over Senseval state of the art systems with the same amount of possible potential remaining). In the interest of developing if more accurate ensembles, w e here define the strong regions for three popular and effective classifiers used for WSD task (Naive Bayes – NB, Support Vector Machine – SVM, Decision Rules – D) using word features (word grain, amount of positive and neg…

Building an Optimal WSD Ensemble Using Per-Word Selection of Best System

2006

In Senseval workshops for evaluating WSD systems [1,4,9], no one system or system type (classifier algorithm, type of system ensemble, extracted feature set, lexical knowledge source etc.) has been discovered that resolves all ambiguous words into their senses in a superior way. This paper presents a novel method for selecting the best system for target word based on readily available word features (number of senses, average amount of training per sense, dominant sense ratio). Applied to Senseval-3 and Senseval-2 English lexical sample state-of-art systems, a net gain of approximately 2.5 – 5.0% (respectively) in average precision per word over the best base system is achieved. The method c…

Associations of Trait Emotional Intelligence with Social Support, Work Engagement, and Creativity in Japanese Eldercare Nurses

2016

A framework of evidence-based practice for digital support, co-developed with and for the autism community

2020

A wide array of digital supports (such as apps) have been developed for the autism community, many of which have little or no evidence to support their effectiveness. A Delphi study methodology was used to develop a consensus on what constitutes good evidence for digital supports among the broader autism community, including autistic people and their families, as well as autism-related professionals and researchers. A four-phase Delphi study consultation with 27 panel members resulted in agreement on three categories for which evidence is required: reliability, engagement and effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categor…

Diferenças de sexo no uso de estratégias de enfrentamento em pessoas com lesão medular

2017

12 Páginas Objetivo: profundizar en la experiencia de afrontamiento en personas con lesión medular (LM), teniendo en cuenta tanto el afron- tamiento actual como el afrontamiento durante momentos iniciales tras sufrir la LM. Materiales y métodos: estudio transversal de encuesta. Participaron 127 personas con LM de larga evolución, 95 hombres y 32 mujeres. Los datos fueron recogidos por medio de un cuestionario online con información sociodemográfica y el Cuestionario de Afrontamiento del Estrés (CAE). Se han realizado análisis descriptivos, pruebas t de Student y análisis multivariados de la varianza (Manovas) Resultados: las comparaciones intrasujetos muestran que la estrategia de focalizac…

Musical Sonification of Arm Movements in Stroke Rehabilitation Yields Limited Benefits.

2019

Neurologic music therapy in rehabilitation of stroke patients has been shown to be a promising supplement to the often strenuous conventional rehabilitation strategies. The aim of this study was threefold: (i) replicate results from a previous study with a sample from one clinic (henceforth called Site 1; N = 12) using an already established recording system, and (ii) conceptually replicate previous findings with a less costly hand-tracking system in Site 2 (N = 30), and (iii) compare both sub-studies' outcomes to estimate the efficiency of neurologic music therapy. Stroke patients in both sites were randomly assigned to treatment or control groups and received daily training of guided sequ…

Systemic support and environmental awareness in a normalised environmental management system consistent with ISO 14001

2021

PurposeThe study aimed to determine the correlations occurring between systemic support and environmental awareness. Additionally, the authors wished to establish which systemic factors (criteria of the ISO 14001) impact those dependencies.Design/methodology/approachQuantitative and qualitative research were carried out (survey findings were analysed against documentation research and self-observation records). The authors used literature review, analysis of system documentation, survey research and self-observation. The research was conducted in the period from April to May 2020. It focused on a chemical company operating within the structure of a large capital group and employing over 1,5…

Cell state prediction through distributed estimation of transmit power

2019

Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…