Search results for "predictive modeling"

showing 6 items of 6 documents

Making Every "Point" Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

2019

Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men’s wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modelling. The valid and reliable template developed by Francis, Owen and Peters (2019) was used to analyse video footage in S…

Basketballlcsh:BF1-990Applied psychologyLogistic regression050105 experimental psychologyOddsData modelingRC120003 medical and health sciences0302 clinical medicineParalympicPsychology0501 psychology and cognitive sciencesCategorical variableGeneral PsychologyOriginal Researchlogistic regression05 social sciencesOffensiveVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850sport performance analysisEuropean championshipslcsh:PsychologyElitePsychologypredictive modeling030217 neurology & neurosurgeryPredictive modelling
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Anemia management in end stage renal disease patients undergoing dialysis: a comprehensive approach through machine learning techniques and mathemati…

2016

Kidney impairment has global consequences in the organism homeostasis and a disorder like Chronic Kidney Disease (CKD) might eventually exacerbates into End Stage Renal Disease (ESRD) where a complete renal replacement therapy like dialysis is necessary. Dialysis partially reintegrates the blood ltration process; however, even when it is associated to a pharmacological therapy, this is not su fficient to completely replace the renal endocrine role and causes the development of common complications, like CKD secondary anemia (CKD-anemia) The availability of exogenous Erythropoiesis Stimulating Agents (ESA, synthetic molecules with similar structure and same mechanism of action as human eryth…

artificial Intelligence:CIENCIAS TECNOLÓGICAS [UNESCO]machine learningdialysisUNESCO::CIENCIAS TECNOLÓGICASpredictive modelinganemiamathematical models
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Model-based Engineering for the Integration of Manufacturing Systems with Advanced Analytics

2016

To employ data analytics effectively and efficiently on manufacturing systems, engineers and data scientists need to collaborate closely to bring their domain knowledge together. In this paper, we introduce a domain-specific modeling approach to integrate a manufacturing system model with advanced analytics, in particular neural networks, to model predictions. Our approach combines a set of meta-models and transformation rules based on the domain knowledge of manufacturing engineers and data scientists. Our approach uses a model of a manufacturing process and its associated data as inputs, and generates a trained neural network model as an output to predict a quantity of interest. This pape…

0209 industrial biotechnologyProcess (engineering)Computer scienceneural network02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationComputer-integrated manufacturing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Meta-modelArtificial neural networkbusiness.industrymeta-modelData scienceNeural networkPredictive modelingMetamodelingWorkflowAnalyticsData analyticsData analysisDomain knowledgemanufacturing process020201 artificial intelligence & image processingManufacturing processbusinessSoftware engineeringpredictive modeling
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Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study

2019

The EUGEI project was supported by the grant agreement HEALTH-F2-2010-241909 from the European Community’s Seventh Framework Programme. The authors are grateful to the patients and their families for participating in the project. They also thank all research personnel involved in the GROUP project, in particular J. van Baaren, E. Veermans, G. Driessen, T. Driesen, E. van’t Hag and J. de Nijs. Bart PF Rutten was funded by a VIDI award number 91718336 from the Netherlands Scientific Organisation.

MalecannabisLogistic regression0302 clinical medicineLasso (statistics)Adverse Childhood ExperiencesStatisticsOdds RatioChild AbusePOLYGENIC RISKpsychosisChildPsychiatrySUMMER BIRTHFramingham Risk Score3. Good healthExposomePsychiatry and Mental healthmachine learningSchizophreniaArea Under CurveFemaleMarijuana UseSeasonsEnvironment And Schizophrenia—Feature Editor: Jim van OsLife Sciences & Biomedicineenvironmentpredictive modelingAdultExposomeDISORDERSrisk scoreYoung Adult03 medical and health sciencesPSYCHOSISmedicineJournal ArticleHumansHearing LossMETAANALYSISDEFICIT SCHIZOPHRENIAENVIRONMENTModels StatisticalScience & Technologychildhood traumaReceiver operating characteristicbusiness.industrySiblingsBullyingBayes TheoremChild Abuse SexualOdds ratiohearing impairmentmedicine.disease030227 psychiatryschizophreniaLogistic ModelsROC CurveSexual abuseCase-Control StudiesbusinessCHILDHOOD ADVERSITIES030217 neurology & neurosurgerywinter birth
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Using the concept of spatial contexts for the prediction of archaeological rural settlement

2011

DTM[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryspatial analysistopography[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and PrehistoryGISpredictive modelingsettlement pattern
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OPTIMIZING STOCHASTIC SUSCEPTIBILITY MODELLING FOR DEBRIS FLOW LANDSLIDES: MODEL EXPORTATION, STATISTICAL TECHNIQUES COMPARISON AND USE OF REMOTE SEN…

Il presente lavoro di ricerca è stato sviluppato al fine di approfondire approcci metodologici nell'ambito della sucscettibilità da frana. In particolare, il tema centrale della ricerca è rappresentato dal tema specifico dell'esportazione spaziale di modelli di suscettibilità nell'area mediterranea. All'interno del topic specifico dell'esportazione di modelli predittivi spaziali sono state approfondite tematiche relative all'utilizzo di differenti algoritmi o di differenti sorgenti, derivate da DEM o da coperture satellitari. The present work has been developed in order to enhance current methodological approaches within the big picture of the landslide susceptibility. In particular, the ce…

Landslide Susceptibility. Predictive modeling. Remote sensing. ASTER. Stochastic Gradient Treeboost. Binary Logistic Regression. Maximum Entropy. Presence-only approach. Presence-absence approach. Geomorphology. Engineering Geomorphology. Engineering Geology. Spatial Analysis.Settore GEO/04 - Geografia Fisica E Geomorfologia
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