Search results for "Predictive"
showing 10 items of 1373 documents
Daily streamlow prediction with uncertainty in ephemeral catchments using the GLUE methodology
2009
Abstract The Generalised Likelihood Uncertainty Estimation (GLUE) approach is presented here as a tool for estimating the predictive uncertainty of a rainfall–runoff model. The GLUE methodology allows to recognise the possible equifinality of different parameter sets and assesses the likelihood of a parameters set being acceptable simulator when model predictions are compared to observed field data. The results of the GLUE methodology depend greatly on the choice of the likelihood measure and on the choice of the threshold which determines if a parameters set is behavioural or not. Moreover the sampling size has a strong influence on the uncertainty assessment of the response of a rainfall–…
A kernel support vector machine based technique for Crohnâs disease classification in human patients
2017
In this paper a new technique for classification of patients affected by Crohnâs disease (CD) is proposed. The proposed technique is based on a Kernel Support Vector Machine (KSVM) and it adopts a Stratified K-Fold Cross-Validation strategy to enhance the KSVM classifier reliability. Traditional manual classification methods require radiological expertise and they usually are very time-consuming. Accordingly to three expert radiologists, a dataset composed of 300 patients has been selected for KSVM training and validation. Each patient was codified by 22 extracted qualitative features and classified as Positive or Negative as the related histological specimen result showed the CD. The eff…
Predictive models for energy saving in Wireless Sensor Networks
2011
ICT devices nowadays cannot disregard optimizations toward energy sustainability. Wireless Sensor Networks, in particular, are a representative class of a technology where special care must be given to energy saving, due to the typical scarcity and non-renewability of their energy sources, in order to enhance network lifetime. In our work we propose a novel approach that aims to adaptively control the sampling rate of wireless sensor nodes using prediction models, so that environmental phenomena can be consistently modeled while reducing the required amount of transmissions; the approach is tested on data available from a public dataset.
Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)
2017
International audience; This paper describes Gaussian process regression (GPR) models presented in predictive model markup language (PMML). PMML is an extensible-markup-language (XML) -based standard language used to represent data-mining and predictive analytic models, as well as pre- and post-processed data. The previous PMML version, PMML 4.2, did not provide capabilities for representing probabilistic (stochastic) machine-learning algorithms that are widely used for constructing predictive models taking the associated uncertainties into consideration. The newly released PMML version 4.3, which includes the GPR model, provides new features: confidence bounds and distribution for the pred…
Validación de una medida de Clima de Servicio en las organizaciones
2012
Service climate is critical for organizations pertaining to the service sector. It reflects the importance organizations attribute to service quality and efforts to please customers. Using previous work of Schneider, White, and Paul (1998) as starting point, this research validates a measure of service climate in the Spanish language. Data from two survey study projects were brought together. A total of 120 hotels, located in Spain, participated in the research. The sample consisted of 508 frontline hotel employees distributed in 152 work-units. Our results confirmed that construct and predictive validity are satisfactory, with four factors describing the facets of service climate: Global S…
Adicción al cibersexo en función de la orientación sexual: prevalencia y predictores
2020
El cibersexo, una práctica sexual generalizada en la sociedad, puede entrañar ciertos beneficios, aunque también conlleva riesgos (como desarrollar una adicción). Dado que el colectivo LGTBI (Lesbianas, gays, transexuales, bisexuales e intersexuales) lo consume más frecuentemente, el riesgo de adicción también podría ser mayor. Este estudio pretende analizar si la orientación sexual aumentaba el riesgo de consumo adictivo de cibersexo, y si la preferencia por determinadas Actividades Sexuales Online (ASOs) y las motivaciones para su realización explicaban este incremento. A tal fin, 553 personas de entre 18-40 años (54.2% hombres; 36.2% heterosexuales, 36.2% bisexuales, 27.7% homosexuales) …
Predicting Well-Being Among the Elderly: The Role of Coping Strategies
2020
Objectives: This study aims to give a wider view on the role of coping strategies on elderly’s well-being, by means of literature-based competitive structural equation models (SEM). Methods: 857 older adults were surveyed with Ryff’s scales of Psychological Well-being and the Coping Strategies Questionnaire. Competitive full SEMs were tested. Results: The best fitting model was the one in which the religious coping dimension was removed, leaving the remaining dimensions defined by problem- and emotion-focused coping, which explained both psychological and subjective well-being factors (χ2(46)=165.910, p<.001; CFI=.906; GFI=.957; RMSEA=.058 [.048, .067]). Discussion: Results pointed the rele…
Italian multicenter, prospective study to evaluate the negative predictive value of 16- and 64-slice MDCT imaging in patients scheduled for coronary …
2009
This was a prospective, multicenter study designed to evaluate the utility of MDCT in the diagnosis of coronary artery disease (CAD) in patients scheduled for elective coronary angiography (CA) using different MDCT systems from different manufacturers. Twenty national sites prospectively enrolled 367 patients between July 2004 and June 2006. Computed tomography (CT) was performed using a standardized/optimized scan protocol for each type of MDCT system (> or =16 slices) and compared with quantitative CA performed within 2 weeks of MDCT. A total of 284 patients (81%) were studied by 16-slice MDCT systems, while 66 patients (19%) by 64-slice MDCT scanners. The primary analysis was on-site/off…
Prognostic outcome of routine clinical noninvasive Multidetector row Computed Tomography Coronary Angiography in Patients with suspected coronary art…
2011
The aim of the study was to assess the prognostic value of multidetector-row CT coronary angiography (MDCT-CA) in patients with suspected coronary artery disease (CAD) in a routine clinical context.A total of 125 patients (82 men, age 57.4±10.3 years) with suspected CAD underwent MDCT-CA. All patients were assessed for cardiovascular risk factors, symptoms and coronary calcium score. A 2-year follow-up study for the occurrence of major adverse cardiac events was performed.According to the Morise pretest score, 76 patients (60.8%) were at intermediate risk. Patients with suspected CAD presented the following prognostic outcome (p0.0001): in 41 patients with normal coronary arteries at MDCT-C…
The German CPU Registry: Dyspnea independently predicts negative short-term outcome in patients admitted to German Chest Pain Units.
2015
While dyspnea is a common symptom in patients admitted to Chest Pain Units (CPUs) little is known about the impact of dyspnea on their outcome. The purpose of this study was to evaluate the impact of dyspnea on the short-term outcome of CPU patients.We analyzed data from a total of 9169 patients admitted to one of the 38 participating CPUs in this registry between December 2008 and January 2013. Only patients who underwent coronary angiography for suspected ACS were included. 2601 patients (28.4%) presented with dyspnea.Patients with dyspnea at admission were older and frequently had a wide range of comorbidities compared to patients without dyspnea. Heart failure symptoms in particular wer…