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28 results for “Data Heterogeneity”
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Research ArticleOpen accessIn the abstractPredictive Modeling Applied to Structured Clinical Data Extracted from Electronic Health Records: An Architectural Hypothesis and A First ExperimentAlessandra Pieroni, Alessandro Cabroni, Francesca Fallucchi, Noemi ScarpatoPredictive analysis is one of current important issues in the healthcare context. A lot of patients’ input data can be obtained from their Electronic Health Records. In our research, we propose a general architecture named Health Prediction Architecture. Initially, we consider that data refer to strongly structured health datasets (no free text). Our objectives are related to exploring some problems … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation Between Particulate Matter (PM10) Exposure and Cardiorespiratory Hospital Admissions: A Time Series AnalysisNur Nabila Abd Rahim, Abqariyah Yahya, Wan Rozita Wan MahiyuddinThis study aimed to evaluate the association between particulate matter (PM10) exposure and cardiorespiratory hospital admissions and develop a time series model for cardiorespiratory hospital admissions in Johor, Malaysia. Retrospective time series analysis was utilised to study cardiorespiratory hospital admissions for the study period 2015-2016. Over-dispersed Poisson generalized linear models with parametric smoothing functions were used to examine the association … …American Journal of Environmental Sciences, Vol. 17, Issue 2 · 27 May 2021 · 6,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractSurvival and Mediation Analysis with Correlated FrailtyUsha S Govindarajulu, Mohsin QadriMany studies have focused on mediation effects, but fewer have focused on these in a time-to-event analysis and even fewer have focused on these effects in a survival model with frailty effects. The purpose of this study was to show unique modeling of correlated frailty effects with mediation and to demonstrate their use through simulations as well as on a … …Current Research in Biostatistics, Vol. 9, Issue 1 · 1 Dec 2019 · 13,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Resource Provisioning Technique in Inter-Cloud using Peer-to-Peer ApproachManbir Kaur, Kiranbir Kaur, Lohit KapoorResource discovery is the process of computing systems; it supports resource management and scheduling of applications. It searches for the apposite variety of resource that satisfies the user's requirements. Resource discovery in computing system is perplexing because of conventional centralized approaches and resilient availability of resources. This scenario becomes more complex in inter-clouds owing to the dynamism and heterogeneity of … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 24 May 2017 · 7,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Apache Spark based Algorithm to Solve Dirichlet Problem for Poisson Equation in 3D Computational DomainShomanov Aday, Mansurova MadinaParallel computations are essential tool in solving large-scale computationally demanding problems. Due to large diversity and heterogeneity of the currently available parallel processing techniques and paradigms it is usually difficult to find the right solution that will perform well according to every performance metric. As one of the recent developments in parallel computing Apache Spark framework allows to process petabyte-scale … …Journal of Computer Science, Vol. 12, Issue 10 · 15 Dec 2016 · 7,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractKMnO4 Modified Carbon Prepared from Waste of Pineapple Leaf Fiber Production Processing for Removal of Ferric Ion from Aqueous SolutionSumrit Mopoung, Thaksaphon BuntermKMnO4 modified carbon materials from waste of pineapple leaf fiber production processing were prepared and characterized. The effects of % weight of KMnO4 (0-5 %wt) and carbonization temperature (500-700°C) were studied by SEM-EDS, XRD, FTIR and BET. The KMnO4 modified waste carbon was used for Fe3+ removal from aqueous solutions. The effects of KMnO4 modification, contact time, pH and loading … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 25 Jun 2016 · 7,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeterogeneities and Intra Sand-Body Compartmentalization in Late Oligocene Delta-Front Deposit, Niger Delta, NigeriaRaphael Oaikhena Oyanyan, Michael Ndubuisi OtiThis paper presents the study of the heterogeneity in lithofacies, porosity, permeability, mineral grain density, pore-throats sizes and hydraulic rock types and the intra sand-body compartmentalization in cored delta-front deposit of Greater Ughelli depobelt of Niger Delta. Sedimentological study of core samples results in the identification of nine lithofacies and the interpretation of environments of deposition as mainly proximal and … …Current Research in Geoscience, Vol. 6, Issue 1 · 28 Mar 2016 · 8,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractZero Inflated Poisson and Geographically Weighted Zero- Inflated Poisson Regression Model: Application to Elephantiasis (Filariasis) Counts DataPurhadi, Yuliani Setia Dewi, Luthfatul AmalianaPoisson regression has been widely used for modeling counts data. Violation of equidispersion assumption can occur when there are excess of zeros of the data. For that condition we can use Zero-Inflated Poisson (ZIP) to analyze such data, resulting global parameter estimates. However spatial data from various locations have their own characteristics depend on their socio-cultural, geographical and economic conditions. … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 29 Sep 2015 · 8,324 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Information Theory Analysis for the Solution of Biomedical Data Processing ProblemsDavid Blokh, Ilia StamblerThe use of information-theoretical methods can be highly valuable for the solution of biomedical data processing problems. Some of the problems that can be solved by those methods include: The assessment of the influence of diagnostic parameters, biomarkers and risk factors, on the emergence of disease; the discretization of diagnostic parameters; the analysis of a combined influence of a group … …Current Research in Bioinformatics, Vol. 3, Issue 1 · 13 Jan 2015 · 9,631 accessesView PDFCite