Search results for "Cluster Analysi"

showing 10 items of 865 documents

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

2020

The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate. Despite being well suited for clinical data, cluster analysis techniques, like the Two-Step and the Latent Class, received little to no attention in the literature. The present study aimed to test the validity of the cluster solutions obtained with Two-Step and Latent Class cluster analysis on the cognitive profile of a cross-diagnostic sample of 387 psychiatric inpatients. Two-Step and Latent Class cluster analysis produced similar and reliable solutions. The overall result…

medicine.medical_specialtymedia_common.quotation_subjectTwo steplcsh:BF1-990Disease cluster050105 experimental psychologycognitive functioning03 medical and health sciences0302 clinical medicinemedicinePersonalityPsychology0501 psychology and cognitive scienceslatent class cluster analysisCognitive skillBipolar disorderPsychiatrypsychiatric inpatientsGeneral Psychologymedia_commonOriginal Research05 social sciencesCognitionmedicine.diseaseClass (biology)two-step cluster analysis latent class cluster analysis cognitive functioning psychiatric inpatients cluster analyseslcsh:PsychologySchizophreniacluster analysesPsychology030217 neurology & neurosurgerytwo-step cluster analysis
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Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation

2001

The distribution of atrial electrogram types has been proposed to characterise human atrial fibrillation. The aim of this study was to provide computer procedures for evaluating the local organisation of intracardiac recordings during AF as an alternative to off-line manual classification. Principal components analysis (PCA) reduced the data set to a few representative activations, and cluster analysis (CA) measured the average dissimilarity between consecutive activations of an intracardiac signal. The data set consisted of 106 bipolar signals recorded on 11 patients during electrophysiological studies for catheter ablation. Performances of PCA and CA in distinguishing between organised (t…

medicine.medical_treatmentBiomedical EngineeringPrincipal component analysiCatheter ablationDisease clusterIntracardiac injectionElectrocardiographyComputer analysismedicineCluster AnalysisHumansCluster analysimedicine.diagnostic_testbusiness.industrySignal Processing Computer-AssistedComputer Science Applications1707 Computer Vision and Pattern RecognitionAtrial fibrillationPattern recognitionmedicine.diseaseAtrial fibrillationComputer Science ApplicationsData setPrincipal component analysisCatheter AblationArtificial intelligencebusinessElectrocardiographyBiomedical engineeringMedical and Biological Engineering and Computing
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Walking Stroop carpet: an innovative dual-task concept for detecting cognitive impairment

2013

A Perrochon,1,2,5 G Kemoun,1,2 E Watelain,3,4 A Berthoz51ISIS, Research Institute on Handicap and Aging, Paris; 2Université de Poitiers, Laboratoire Mobilité, Vieillissement et Exercice (MOVE), EA 6314, 3Université de Valenciennes, LAMIH, UMR CNRS 8201, 4Université Sud Toulon Var, HandiBio, EA 4322, La Garde, 5LPPA, UMR CNRS 7152, Collège de France, Paris, FranceBackground: Several studies have reported the potential value of the dual-task concept during locomotion in clinical evaluation because cognitive decline is strongly associated with gait abnormalities. However, current dual-task tests appear to be insufficient for early diagnosi…

mild cognitive impairment.AdultMalemedicine.medical_specialty[SDV]Life Sciences [q-bio]Neuropsychological TestsSensitivity and Specificitybehavioral disciplines and activities050105 experimental psychologyDevelopmental psychologyTask (project management)03 medical and health scienceswalking0302 clinical medicineGait (human)Physical medicine and rehabilitationmild cognitive impairmentmedicineCluster AnalysisHumans0501 psychology and cognitive sciencesCognitive declineCognitive impairmentdual-taskGait Disorders NeurologicComputingMilieux_MISCELLANEOUSAgedOriginal ResearchAged 80 and overAnalysis of Variancestroop[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesRC952-954.6[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesGeneral MedicineDUAL (cognitive architecture)Middle AgedGeriatricsClinical Interventions in AgingFemaleGeriatrics and GerontologyPsychologyCognition DisordersClinical evaluation030217 neurology & neurosurgeryPsychomotor Performancepsychological phenomena and processesStroop effect
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Conditional predictive inference for online surveillance of spatial disease incidence

2011

This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…

multiple comparisonsGeorgiaIncidenceSouth Carolinalagged loss functionBayes TheoremBayesian hierarchical modelspublic health surveillanceArticleconditional predictive ordinatePopulation Surveillancespatial dataSalmonella InfectionsCluster AnalysisHumansComputer SimulationPoisson Distribution
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Pain and clinical findings in the low back: a study of industrial employees with 5-, 10-, and 28-year follow-ups.

2009

Little is known about the relationships of clinical findings in the low back with low back pain (LBP) in the normal working population. We studied whether physiotherapist's findings in the low back were associated with local and radiating LBP among a cohort (n=902) of employees in the engineering industry. A systematic non-proportional sample was drawn in strata by age, gender, and occupational class. The non-proportionality aimed at increasing sample size in smaller strata. Physiotherapists performed the straight-leg raising test (SRL), and made assessments of the fingertip-to-floor distance and pain in palpation of the lumbar interspinous spaces. The variables on pain at the interspinous …

musculoskeletal diseasesAdultMalemedicine.medical_specialtyLogistic regressionSeverity of Illness IndexPhysical medicine and rehabilitationhealth services administrationSeverity of illnessmedicineCluster AnalysisHumansGeneralizability theoryProspective StudiesProspective cohort studyWorkplaceReferred painbusiness.industryMiddle AgedLow back painHealth Surveysbody regionsAnesthesiology and Pain MedicineLogistic ModelsSample size determinationCohortPhysical therapypopulation characteristicsFemalemedicine.symptombusinessLow Back PainFollow-Up StudiesEuropean journal of pain (London, England)
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Adult attachment styles : a person-oriented approach

2001

naisetturvallisuusattachment targetpersonality characteristicssukupuolierotihmissuhteetsosiaaliset suhteettied-high classificationkiintymysadult attachmentgender differencesriippuvuustunteetpsychosocial functioningmiehetlapsetaikuisetcluster analysis
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Understanding the Study Experiences of Students in Low Agency Profile: Towards a Smart Education Approach

2020

In this paper, we use student agency analytics to examine how university students who assessed to have low agency resources describe their study experiences. Students ( n=292 ) completed the Agency of University Students (AUS) questionnaire. Furthermore, they reported what kinds of restrictions they experienced during the university course they attended. Four different agency profiles were identified using robust clustering. We then conducted a thematic analysis of the open-ended answers of students who assessed to have low agency resources. Issues relating to competence beliefs, self-efficacy, student-teacher relations, time as a resource, student well-being, and course contents seemed to …

oppiminenhyvinvointiLearning analyticsatudent agency analyticsthematic analysisomatoimisuusResource (project management)Agency (sociology)ComputingMilieux_COMPUTERSANDEDUCATIONCluster analysisopettaja-oppilassuhdeCompetence (human resources)learning analyticsMedical educationopiskelijatbusiness.industrytoimijuussuoriutuminenknowledge graphKnowledge graphAnalyticsanalyysiThematic analysisrobust clusteringPsychologybusiness
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Patient satisfaction : results of cluster analysis of finnish patients

2023

Background Healthcare providers must understand patients’ expectations and perceptions of the care they receive to provide high-quality care. The purpose of this study is to identify and analyse different clusters of patient satisfaction with the quality of care at Finnish acute care hospitals. Methods A cross-sectional design was applied. The data were collected in 2017 from three Finnish acute care hospitals with the Revised Humane Caring Scale (RHCS) as a paper questionnaire, including six background questions and six subscales. The k-means clustering method was used to define and analyse clusters in the data. The unit of analysis was a health system encompassing inpatients and outpatien…

potilaatterveyspalvelutpatient satisfactionnursingquality of carequestionnaireterveydenhuoltotyytyväisyysrevised humane caring scalelaatucluster analysishoitotyö
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A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

2022

[EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component …

principal component analysisMuseumsClimatemuseumESTADISTICA E INVESTIGACION OPERATIVAtemperatureHumidityUNESCO::CIENCIAS ECONÓMICASmultivariate approachsensorsrelative humidityBiochemistryAtomic and Molecular Physics and OpticsAnalytical Chemistrymuseum; microclimate; multivariate approach; principal component analysis; cluster analysis; sensors; deployment; temperature; relative humiditycluster analysis; deployment; microclimate; multivariate approach; museum; principal component analysis; relative humidity; sensors; temperature; Climate; Humidity; Temperature; Microclimate; MuseumsFISICA APLICADAdeploymentElectrical and Electronic EngineeringInstrumentationmicroclimatecluster analysisSensors; Volume 22; Issue 12; Pages: 4547
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Buone pratiche e strumenti di analisi per l’apprendimento, l’insegnamento e l’inclusione

2022

Il presente lavoro, nato in seno al progetto di ricerca “Best practices and tools of analysis in schools and community contexts: learning, teaching & inclusion”, avviato su fondi del Dipartimento SPPEFF dell’Università di Palermo, nel marzo 2019 e giunto alla sua seconda fase. La metodologia di ricerca utilizzata – perché ritenuta adeguata a perseguire le finalità fissate e a fornire una visione complessa ed articolata del fenomeno investigato – è stata quella del Mixed Method, con particolare riferimento all’Explanatory Design: Participant Selection Model di Creswell, Plano Clark, et al. (2003). L’«Explanatory Design is a two-phase mixed methods design. The overall purpose of this desi…

qualitative research neuroeducation UDL cluster analysis.ricerca qualitativa neurodidattica UDL analisi dei clusterSettore M-PED/04 - Pedagogia SperimentaleSettore M-PED/03 - Didattica E Pedagogia Speciale
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