Search results for "computer.software_genre"

showing 10 items of 3858 documents

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation

2014

This work presents the application of machine learning techniques to analyse the influence of physical exercise in the physiological properties of the heart, during ventricular fibrillation. To this end, different kinds of classifiers (linear and neural models) are used to classify between trained and sedentary rabbit hearts. The use of those classifiers in combination with a wrapper feature selection algorithm allows to extract knowledge about the most relevant features in the problem. The obtained results show that neural models outperform linear classifiers (better performance indices and a better dimensionality reduction). The most relevant features to describe the benefits of physical …

MaleComputer scienceHealth InformaticsPhysical exerciseFeature selectionMachine learningcomputer.software_genreElectrocardiographyKnowledge extractionArtificial IntelligencePhysical Conditioning AnimalmedicineAnimalsExtreme learning machinebusiness.industryDimensionality reductionWork (physics)Signal Processing Computer-Assistedmedicine.diseaseComputer Science ApplicationsCor MalaltiesPhysical FitnessMultilayer perceptronVentricular fibrillationVentricular FibrillationEnginyeria biomèdicaArtificial intelligenceRabbitsbusinesscomputer
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A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer

2013

International audience; BACKGROUND: With the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining claim data to support the exploration of trajectories of care. METHODS: A clustering of trajectories of care for breast cancer was performed with Formal Concept Analysis. We exported Data from the French national casemix system, covering all inpatient admissions in the country. Patients admitted for breast cancer surgery in 2009 were selected and their trajectory of care was recomposed with all hospitalizations occuring within one year after surgery. Th…

MaleDatabases FactualInsurance Claim Review02 engineering and technologyCarecomputer.software_genreHealth informatics0302 clinical medicine0202 electrical engineering electronic engineering information engineeringFormal concept analysisMedicine[ SHS.ECO ] Humanities and Social Sciences/Economies and finances030212 general & internal medicineHospital Costs[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SHS.ECO] Humanities and Social Sciences/Economics and FinanceComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]Cancer[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Health PolicyFormal concept analysisMiddle Aged[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Hospitals3. Good healthComputer Science ApplicationsClaim dataFemaleData miningFranceTrajectory of careResearch ArticleHealth InformaticsBreast Neoplasms03 medical and health sciencesInsurance Claim ReviewBreast cancerbreast cancer020204 information systems[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]HumansData miningAgedbusiness.industryCancerAnalysing trajectoriesmedicine.diseaseData science[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputer
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Rhythmic and textural musical sequences differently influence syntax and semantic processing in children.

2020

International audience; Effects of music on language processing have been reported separately for syntax and for semantics. Previous studies have shown that regular musical rhythms can facilitate syntax processing and that semantic features of musical excerpts can inZluence semantic processing of words. It remains unclear whether musical parameters, such as rhythm and sound texture, may speciZically inZluence different components of linguistic processing. In the current study, two types of musical sequences (one focusing on rhythm and the other focusing on sound texture) were presented to children who were requested to perform a syntax or a semantic task thereafter. The results revealed tha…

MaleDeep linguistic processingInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Experimental and Cognitive PsychologyTexture (music)Semanticscomputer.software_genre050105 experimental psychology[SCCO]Cognitive scienceRhythmDevelopmental and Educational PsychologySemantic memoryHumans0501 psychology and cognitive sciencesChildLanguage TestsPsycholinguistics[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviorSyntax (programming languages)business.industry05 social sciencesSemantics[SCCO.PSYC]Cognitive science/PsychologyAuditory PerceptionGrammaticalityFemaleArtificial intelligencePsychologybusinessPriming (psychology)computerNatural language processingMusic050104 developmental & child psychologyJournal of experimental child psychology
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Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues

2009

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent brain activity in terms of a reliable anatomical localization and a detailed temporal evolution of neural signals. Simultaneous EEG-fMRI recordings offer the possibility to greatly enrich the significance and the interpretation of the single modality results because the same neural processes are observed from the same brain at the same time. Nonetheless, the different physical nature of the measured signals by the two techniques renders the coupling not always straightforward, especially in cognitive experiments where spatially localized and distributed effects coexist and evolve temporally at different …

MaleDefault-modeBrain activity and meditationComputer scienceinstrumentation/methodsElectroencephalographycomputer.software_genreSynchronizationComputer-AssistedModelsEEGEvoked PotentialsDefault mode networkParametric statisticsVisual CortexBrain Mappingmedicine.diagnostic_testfMRISettore MED/37 - NeuroradiologiaElectroencephalographyMagnetic Resonance ImagingPattern Recognition VisualNeurologicalVisualAdultModels NeurologicalBiomedical EngineeringBiophysicsPattern RecognitionMachine learningEEG-fMRISensitivity and SpecificitymethodsImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingComputer SimulationImage Interpretationbusiness.industryWorking memoryWorking memoryReproducibility of ResultsPattern recognitionAdult Brain Mapping; methods Computer Simulation Electroencephalography; methods Evoked Potentials; Visual; physiology Humans Image Interpretation; Computer-Assisted; methods Magnetic Resonance Imaging; instrumentation/methods Male Models; Neurological Pattern Recognition; physiology Reproducibility of Results Sensitivity and Specificity Visual Cortex; physiologyDistributed source modelingphysiologyEvoked Potentials VisualArtificial intelligencebusinessFunctional magnetic resonance imagingcomputer
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Acquisition of expertise in cricket fast bowling: Perceptions of expert players and coaches

2011

Objectives: Experiential knowledge of elite athletes and coaches was investigated to reveal insights on expertise acquisition in cricket fast bowling. Design: Twenty-one past or present elite cricket fast bowlers and coaches of national or international level were interviewed using an in-depth, open-ended, semi-structured approach. Methods: Participants were asked about specific factors which they believed were markers of fast bowling expertise potential. Of specific interest was the relative importance of each potential component of fast bowling expertise and how components interacted or developed over time. Results: The importance of intrinsic motivation early in development was highlight…

MaleEngineeringmedia_common.quotation_subjectApplied psychologyPhysical Therapy Sports Therapy and RehabilitationAthletic Performancecomputer.software_genreExperiential learningCoachingCohort StudiesProfessional CompetenceCricketPerceptionExperiential knowledgeHumansOrthopedics and Sports Medicineta315media_commonMultimediabiologybusiness.industrybiology.organism_classificationTalent developmentIdentification (information)ElitebusinesscomputerSportsJournal of Science and Medicine in Sport
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Common cardiovascular risk factors and in-hospital mortality in 3,894 patients with COVID-19: survival analysis and machine learning-based findings f…

2020

Background and aims There is poor knowledge on characteristics, comorbidities and laboratory measures associated with risk for adverse outcomes and in-hospital mortality in European Countries. We aimed at identifying baseline characteristics predisposing COVID-19 patients to in-hospital death. Methods and results Retrospective observational study on 3894 patients with SARS-CoV-2 infection hospitalized from February 19th to May 23rd, 2020 and recruited in 30 clinical centres distributed throughout Italy. Machine learning (random forest)-based and Cox survival analysis. 61.7% of participants were men (median age 67 years), followed up for a median of 13 days. In-hospital mortality exhibited a…

MaleEpidemiologyEndocrinology Diabetes and MetabolismMedicine (miscellaneous)030204 cardiovascular system & hematologycomputer.software_genreMachine Learning0302 clinical medicineRetrospective StudieRisk FactorsCardiovascular DiseaseEpidemiology80 and overMedicineAge FactorViralHospital MortalityBetacoronavirus Hospital MortalityYoung adultAged 80 and overNutrition and DieteticsCOVID-19; Epidemiology; In-hospital mortality; Risk factorsMortality rateHazard ratioAge FactorsMiddle AgedIn-hospital mortalityC-Reactive ProteinCardiovascular DiseasesFemaleSurvival AnalysiCardiology and Cardiovascular MedicineCoronavirus InfectionsHumanGlomerular Filtration RateAdultmedicine.medical_specialtyAdolescentPneumonia Viral030209 endocrinology & metabolismSettore MED/17 - MALATTIE INFETTIVEMachine learningCOVID-19; Epidemiology; In-hospital mortality; Risk factors; Adolescent; Adult; Age Factors; Aged; Aged 80 and over; C-Reactive Protein; COVID-19; Cardiovascular Diseases; Coronavirus Infections; Female; Glomerular Filtration Rate; Humans; Male; Middle Aged; Pandemics; Pneumonia Viral; Retrospective Studies; Risk Factors; SARS-CoV-2; Survival Analysis; Young Adult; Betacoronavirus; Hospital Mortality; Machine LearningArticle03 medical and health sciencesBetacoronavirusYoung AdultHumansRisk factorPandemicsSurvival analysisAgedRetrospective StudiesPandemicBetacoronavirubusiness.industryCoronavirus InfectionSARS-CoV-2Risk FactorCOVID-19Retrospective cohort studyPneumoniaSurvival AnalysisConfidence intervalRisk factorsArtificial intelligencebusinesscomputerNutrition, metabolism, and cardiovascular diseases : NMCD
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Transforming RNA-Seq Data to Improve the Performance of Prognostic Gene Signatures

2014

Gene expression measurements have successfully been used for building prognostic signatures, i.e for identifying a short list of important genes that can predict patient outcome. Mostly microarray measurements have been considered, and there is little advice available for building multivariable risk prediction models from RNA-Seq data. We specifically consider penalized regression techniques, such as the lasso and componentwise boosting, which can simultaneously consider all measurements and provide both, multivariable regression models for prediction and automated variable selection. However, they might be affected by the typical skewness, mean-variance-dependency or extreme values of RNA-…

MaleGene Expressionlcsh:Medicinecomputer.software_genreBioinformaticslcsh:ScienceExtreme value theoryMultidisciplinaryMultivariable calculusStatisticsRegression analysisGenomicsPrognosisKidney NeoplasmsNeoplasm ProteinsLeukemia Myeloid AcuteMedicineProbability distributionFemaleSequence AnalysisAlgorithmsResearch ArticleStatistical DistributionsRiskBoosting (machine learning)Clinical Research DesignFeature selectionBiostatisticsBiologyMachine learningMolecular GeneticsGenome Analysis ToolsCovariateHumansStatistical MethodsGene PredictionBiologyCarcinoma Renal CellProbabilityClinical GeneticsSequence Analysis RNAbusiness.industrylcsh:RPersonalized MedicineModelingComputational BiologyProbability TheorySurvival AnalysisSkewnessMultivariate AnalysisRNAlcsh:QArtificial intelligenceGenome Expression AnalysisTranscriptomebusinesscomputerMathematicsPLoS ONE
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Changes in life-space mobility and quality of life among community-dwelling older people: a 2-year follow-up study

2016

Purpose Life-space mobility refers to the spatial area in which a person moves in daily life, taking into account distance, frequency and assistance needed. The aim was to examine how changes in life-space mobility are associated with changes in quality of life (QOL) over a 2-year period. Methods Community-dwelling people aged 75–90 years (n = 848) were interviewed face-to-face in their homes and followed up annually for 2 years. QOL was assessed with the short version of the World Health Organization QOL assessment (range 0–130, higher scores indicate better QOL). Life-space mobility was assessed with the Life-Space Assessment (range 0–120, higher scores indicate better life-space mobility…

MaleGerontologyAgingmedicine.medical_specialtyhyvinvointiNeuropsychological Testscomputer.software_genreWorld health03 medical and health sciences0302 clinical medicineQuality of lifelife-spacemedicineHumansCognitive Dysfunction030212 general & internal medicineMobility Limitationskin and connective tissue diseasesAgedosallistuminenAged 80 and overGeriatricsbusiness.industryData CollectionPublic healthagingPublic Health Environmental and Occupational HealthFollow up studies3. Good healthGeriatricsLife spaceoutdoor activityWell-beingQuality of LifeRegression AnalysisFemalesense organsSelf ReportData miningbusinessOlder peoplecomputer030217 neurology & neurosurgeryFollow-Up StudiesQuality of Life Research
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Bone marrow fat quantification of osteoporotic vertebral compression fractures: comparison of multi-voxel proton MR spectroscopy and chemical-shift g…

2011

Background Only a few studies have used in/opposed phase method for a quantitative evaluation of fat fraction in the spine. Purpose To compare multivoxel proton MR spectroscopy and chemical-shift gradient-echo MR imaging for bone marrow fat quantification in vertebral compression fractures (VCF). Material and Methods Vertebral marrow fat quantification in fifteen patients was measured at 3.0-T. Multi-voxel proton spectroscopy (MRS) and in/opposed-phase MR imaging using a fat map build with a triple-echo gradient-echo sequence was used. All the patients had benign vertebral collapse. Bone marrow fat content was evaluated by both techniques in compressed (acute or chronic) and in non-compress…

MaleIn vivo magnetic resonance spectroscopyMagnetic Resonance Spectroscopy[SDV]Life Sciences [q-bio]Fat quantificationcomputer.software_genreMESH: Magnetic Resonance Imaging030218 nuclear medicine & medical imagingMESH: Aged 80 and over0302 clinical medicineBone MarrowVoxelFractures CompressionMESH: Fractures CompressionAged 80 and overMESH: AgedMESH: Middle Aged[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingRadiological and Ultrasound TechnologyGeneral MedicineMiddle AgedCompression (physics)LipidsMagnetic Resonance Imagingmedicine.anatomical_structureAcute DiseaseSpinal FracturesMESH: Acute DiseaseFemaleMESH: Bone MarrowMESH: OsteoporosisAdultMESH: Spinal Fractures03 medical and health sciences[INFO.INFO-IM]Computer Science [cs]/Medical ImagingmedicineHumansRadiology Nuclear Medicine and imagingAgedMESH: HumansMESH: Magnetic Resonance Spectroscopybusiness.industryMESH: Chronic DiseaseVertebral compression fractureMESH: Adultmedicine.diseaseMESH: LipidsMr imagingMESH: MaleProton mr spectroscopyChronic DiseaseOsteoporosisBone marrowbusinessNuclear medicineMESH: Femalecomputer030217 neurology & neurosurgeryActa Radiologica
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The Evonik-Mainz Eye Care-Study (EMECS): Development of an Expert System for Glaucoma Risk Detection in a Working Population

2015

Purpose To develop an expert system for glaucoma screening in a working population based on a human expert procedure using images of optic nerve head (ONH), visual field (frequency doubling technology, FDT) and intraocular pressure (IOP). Methods 4167 of 13037 (32%) employees between 40 and 65 years of Evonik Industries were screened. An experienced glaucoma expert (JW) assessed papilla parameters and evaluated all individual screening results. His classification into “no glaucoma”, “possible glaucoma” and “probable glaucoma” was defined as “gold standard”. A screening model was developed which was tested versus the gold-standard. This model took into account the assessment of the ONH. Valu…

MaleIntraocular pressureEye Diseasesgenetic structuresOptic disklcsh:MedicineGlaucomacomputer.software_genreNerve Fibers0302 clinical medicineCost of IllnessRisk FactorsAnimal CellsOdds RatioPrevalenceMedicine and Health SciencesMedicine030212 general & internal medicinelcsh:ScienceNeuronsMultidisciplinaryPharmaceuticsApplied MathematicsSimulation and ModelingMiddle AgedVisual fieldPhysical SciencesFemaleAnatomyCellular TypesAlgorithmsResearch ArticleAdultmedicine.medical_specialtyOptic DiskResearch and Analysis MethodsSensitivity and SpecificityDiagnosis DifferentialTonometry Ocular03 medical and health sciencesDrug TherapyOcular SystemOphthalmologyHumansWorking populationIntraocular PressureAgedbusiness.industrylcsh:RBiology and Life SciencesGlaucomaOptic NerveCell BiologyOdds ratioGold standard (test)medicine.diseaseeye diseasesExpert systemOphthalmologyCellular Neuroscience030221 ophthalmology & optometryVisual Field TestsEyesOptometrylcsh:Qsense organsVisual FieldsbusinessHeadcomputerMathematicsNeurosciencePLOS ONE
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