Search results for "Probabilistic estimation"

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A probabilistic estimation and prediction technique for dynamic continuous social science models: The evolution of the attitude of the Basque Country…

2015

In this paper, a computational technique to deal with uncertainty in dynamic continuous models in Social Sciences is presented.Considering data from surveys,the method consists of determining the probability distribution of the survey output and this allows to sample data and fit the model to the sampled data using a goodness-of-fit criterion based the χ2-test. Taking the fitted parameters that were not rejected by the χ2-test, substituting them into the model and computing their outputs, 95% confidence intervals in each time instant capturing the uncertainty of the survey data (probabilistic estimation) is built. Using the same set of obtained model parameters, a prediction over …

FOS: Computer and information sciencesAttitude dynamicsProbabilistic predictionComputer sciencePopulationDivergence-from-randomness modelSample (statistics)computer.software_genreMachine Learning (cs.LG)Probabilistic estimationSocial scienceeducationProbabilistic relevance modeleducation.field_of_studyApplied MathematicsProbabilistic logicConfidence intervalComputer Science - LearningComputational MathematicsSocial dynamic modelsProbability distributionSurvey data collectionData miningMATEMATICA APLICADAcomputerApplied Mathematics and Computation
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2021

Abstract Reliable patient-specific ventricular repolarization times (RTs) can identify regions of functional block or afterdepolarizations, indicating arrhythmogenic cardiac tissue and the risk of sudden cardiac death. Unipolar electrograms (UEs) record electric potentials, and the Wyatt method has been shown to be accurate for estimating RT from a UE. High-pass filtering is an important step in processing UEs, however, it is known to distort the T-wave phase of the UE, which may compromise the accuracy of the Wyatt method. The aim of this study was to examine the effects of high-pass filtering, and improve RT estimates derived from filtered UEs. We first generated a comprehensive set of UE…

Ventricular RepolarizationRadiological and Ultrasound TechnologyArtificial neural networkComputer sciencebusiness.industryHealth InformaticsPattern recognitionFilter (signal processing)Computer Graphics and Computer-Aided Design030218 nuclear medicine & medical imagingProbabilistic estimation03 medical and health sciences0302 clinical medicineTime estimationApproximation errorSignificant errorRepolarizationRadiology Nuclear Medicine and imagingComputer Vision and Pattern RecognitionArtificial intelligencebusiness030217 neurology & neurosurgeryMedical Image Analysis
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