Search results for "probability"

showing 10 items of 3417 documents

Joint Probability of Shape and Image Similarities to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

2012

International audience; This paper presents a novel method to identify the 2D axial Magnetic Resonance (MR) slice from a pre-acquired MR prostate volume that closely corresponds to the 2D axial Transrectal Ultrasound (TRUS) slice obtained during prostate biopsy. The method combines both shape and image intensity information. The segmented prostate contours in both the imaging modalities are described by shape-context representations and matched using the Chi-square distance. Normalized mutual information and correlation coefficient between the TRUS and MR slices are computed to find image similarities. Finally, the joint probability values comprising shape and image similarities are used in…

MaleProstate biopsyBiopsy[INFO.INFO-IM] Computer Science [cs]/Medical Imaging030230 surgeryNormalized mutual information030218 nuclear medicine & medical imagingImage (mathematics)03 medical and health sciences0302 clinical medicineJoint probability distribution[INFO.INFO-IM]Computer Science [cs]/Medical ImagingMedicineHumansComputer visionMR ProstateProbabilitymedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryUltrasoundProstatic NeoplasmsMagnetic resonance imagingImage segmentationMagnetic Resonance ImagingArtificial intelligencebusiness
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A happiness degree predictor using the conceptual data structure for deep learning architectures

2017

Abstract Background and Objective: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventional methodologies are based on linear relationships, such as the commonly used Multivariate Linear Regression (MLR), which may suffer from the lack of representative capacity to the varied psychological features. Using Deep Neural Networks (DNN), we define a Happiness Degree Predictor (H-DP) based on the answers to five psychometric standardized questionnaires. Methods: A Data-Structure driven architecture for DNNs (D-SDNN) is proposed …

MalePsychometricsmedia_common.quotation_subjectEmotionsHappiness050109 social psychologyHealth Informatics02 engineering and technologyModels PsychologicalMachine learningcomputer.software_genrePredictive Value of TestsSurveys and QuestionnairesBayesian multivariate linear regressionAdaptation Psychological0202 electrical engineering electronic engineering information engineeringCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALHumans03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades0501 psychology and cognitive sciencesDimension (data warehouse)HappinessHappiness-Degree Predictor (H-DP)media_commonMathematicsArtificial neural networkbusiness.industryPsychological researchDeep learning05 social sciencesSocial SupportDeep learningOutcome (probability)Computer Science ApplicationsData-structure driven deep neural network (D-SDNN)Cross-Sectional StudiesMultivariate AnalysisHappinessORGANIZACION DE EMPRESASFemale020201 artificial intelligence & image processingArtificial intelligencePositive psychologybusinessMATEMATICA APLICADAcomputerAlgorithmsMedical InformaticsStress PsychologicalSoftware
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Bronchodilatory Effect of Deep Inspiration Is Absent in Subjects With Mild COPD

2004

Study objectives To investigate whether the bronchodilatory effect of deep inspiration is impaired in subjects with COPD. Methods We measured deep inspiration-induced bronchodilation in 19 patients with COPD and 17 healthy subjects (mean age, 67.8 ± 7.1 years vs 62.5 ± 9.3 years, respectively [± SEM]). Each subject underwent a series of single-dose methacholine provocations to induce at least a 15% reduction in inspiratory vital capacity (IVC). When this was achieved, subjects were asked to perform four consecutive deep inspirations, after which the IVC measurement was repeated and the percentage of bronchodilation by deep inspiration was calculated. Results The percentage of reduction in I…

MalePulmonary and Respiratory MedicineSpirometryAgingVital CapacitySettore MED/10 - Malattie Dell'Apparato RespiratorioCritical Care and Intensive Care MedicineSensitivity and Specificitylung function COPDBronchial Provocation TestsStatistics NonparametricPulmonary Disease Chronic ObstructiveReference ValuesForced Expiratory VolumeBronchodilationmedicineHumansLung volumesMethacholine ChlorideAgedProbabilityAged 80 and overCOPDmedicine.diagnostic_testPulmonary Gas Exchangebusiness.industryMiddle AgedAirway obstructionPrognosismedicine.diseaserespiratory tract diseasesBronchodilatationInhalationSpirometryCase-Control StudiesAnesthesiaRespiratory MechanicsFemaleBronchoconstrictionMethacholinemedicine.symptomLung Volume MeasurementsCardiology and Cardiovascular Medicinebusinessmedicine.drugChest
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Spanish Validation of the Child Pornography Offender Risk Tool.

2020

The current study examined the validity of the Child Pornography Offender Risk Tool (CPORT) in a sample of 304 men arrested in Spain for child pornography (CP) offenses, distinguishing between CP-exclusive offenders ( n = 255) and CP offenders with other criminal involvement ( n = 49). In our 5-year fixed follow-up analysis, we observed a 2.3% sexual recidivism rate for the whole sample (2.0% new CP offenses, 0.3% new contact sexual offenses). Receiver operating characteristic (ROC) analyses detected some relative predictive ability of the CPORT for CP recidivism outcomes when the Correlates of Admission of Sexual Interest in Children (CASIC) was used to replace missing CPORT Item 5. Speci…

MaleRecidivism010102 general mathematicsSex OffensesPoison controlHuman factors and ergonomicsChild Abuse SexualCriminals01 natural sciencesSuicide preventionRisk AssessmentOccupational safety and health010104 statistics & probabilityPsychiatry and Mental healthRecidivismChild pornographyInjury preventionEroticaHumans0101 mathematicsPsychologyRisk assessmentChildGeneral PsychologyClinical psychologySexual abuse : a journal of research and treatment
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Geographical Variability in Mortality in Urban Areas: A Joint Analysis of 16 Causes of Death.

2021

The authors acknowledge the support of the research grants PI16/00670, PI16/00755, PI16/01004, PI16/01187, PI16/01273, PI16/01281, and PI18/01313 of Instituto de Salud Carlos III, co-funded with FEDER grants.

MaleRiskHealth Toxicology and Mutagenesisurban areasJoint analysis01 natural sciencesArticle010104 statistics & probability03 medical and health sciences0302 clinical medicineCause of Deathgeographical inequalitiesHumans030212 general & internal medicine0101 mathematicsCitiesMortalitySocioeconomicsmultivariate disease mappingGeographyPublic Health Environmental and Occupational HealthRmortalityGeographySocioeconomic FactorsMedicineEnfermeríaFemaleGeographical inequalities
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Specific codon 13 K-ras mutations are predictive of clinical outcome in colorectal cancer patients, whereas codon 12 K-ras mutations are associated w…

2002

Background: K-ras mutations, one of the earliest events observed in colorectal carcinogenesis, are mostly found in codons 12 and 13, and less frequently in codon 61, all three of which are estimated to be critical for the biological activity of the protein. Nevertheless the prognostic significance of such mutations remains controversial. Our purpose was to assess whether any or specific K-ras mutations in primary colorectal cancer had prognostic significance and were linked to clinico-pathological parameters. Patients and methods: Paired tumor and normal tissue samples from a consecutive series of 160 untreated patients (median of follow up 71 months), undergoing resective surgery for prima…

MaleSettore MED/06 - Oncologia MedicaColorectal cancermedicine.disease_causePolymerase Chain ReactionMetastasisProspective StudiesMutationTransition (genetics)Biopsy NeedleDNA NeoplasmHematologyMiddle AgedFlow CytometryPrognosisColorectal carcinomaOncologyFemaleColorectal NeoplasmsAdultGenetic Markersmedicine.medical_specialtyK-ras mutationAdenocarcinomaSensitivity and SpecificityPredictive Value of TestsCulture TechniquesInternal medicineCarcinomamedicineHumansCodonGeneAgedNeoplasm StagingProbabilityProportional Hazards ModelsAnalysis of VarianceProportional hazards modelbusiness.industrymedicine.diseaseDNA ploidyGenes rasLogistic ModelsEndocrinologyGenetic markerMultivariate AnalysisMutationCancer researchbusinessAnnals of Oncology
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Estimating adjusted NNT measures in logistic regression analysis

2007

The number needed to treat (NNT) is a popular measure to describe the absolute effect of a new treatment compared with a standard treatment or placebo in clinical trials with binary outcome. For use of NNT measures in epidemiology to compare exposed and unexposed subjects, the terms 'number needed to be exposed' (NNE) and 'exposure impact number' (EIN) have been proposed. Additionally, in the framework of logistic regression a method was derived to perform point and interval estimation of NNT measures with adjustment for confounding by using the adjusted odds ratio (OR approach). In this paper, a new method is proposed which is based upon the average risk difference over the observed confou…

MaleStatistics and ProbabilityBiometryEpidemiologyInterval estimationCoverage probabilityCoronary DiseaseLogistic regressionCohort StudiesBiasRisk FactorsStatisticsConfidence IntervalsOdds RatioHumansMedicineClinical Trials as Topicbusiness.industrySmokingConfoundingConfounding Factors EpidemiologicOdds ratioConfidence intervalLogistic ModelsNumber needed to treatbusinessCohort studyStatistics in Medicine
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Some findings on zero-inflated and hurdle Poisson models for disease mapping

2018

Zero excess in the study of geographically referenced mortality data sets has been the focus of considerable attention in the literature, with zero-inflation being the most common procedure to handle this lack of fit. Although hurdle models have also been used in disease mapping studies, their use is more rare. We show in this paper that models using particular treatments of zero excesses are often required for achieving appropriate fits in regular mortality studies since, otherwise, geographical units with low expected counts are oversmoothed. However, as also shown, an indiscriminate treatment of zero excess may be unnecessary and has a problematic implementation. In this regard, we find …

MaleStatistics and ProbabilityDatabases FactualEpidemiologyComputer scienceGeographic MappingEstadísticaBiostatisticsPoisson distribution01 natural sciences010104 statistics & probability03 medical and health sciencessymbols.namesakeSpatio-Temporal Analysis0302 clinical medicineNeoplasmsEconometricsHumansPoisson Distribution030212 general & internal medicineLack-of-fit sum of squaresMortality0101 mathematicsProbabilityModels StatisticalBayes TheoremZero (linguistics)SpainMortality datasymbolsMalaltiesFemaleFocus (optics)
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Empirical study of the dependence of the results of multivariable flexible survival analyses on model selection strategy

2008

Flexible survival models, which avoid assumptions about hazards proportionality (PH) or linearity of continuous covariates effects, bring the issues of model selection to a new level of complexity. Each ‘candidate covariate’ requires inter-dependent decisions regarding (i) its inclusion in the model, and representation of its effects on the log hazard as (ii) either constant over time or time-dependent (TD) and, for continuous covariates, (iii) either loglinear or non-loglinear (NL). Moreover, ‘optimal’ decisions for one covariate depend on the decisions regarding others. Thus, some efficient model-building strategy is necessary. We carried out an empirical study of the impact of the model …

MaleStatistics and ProbabilityEpidemiologyAge at diagnosisAdenocarcinomaEmpirical researchRisk FactorsStomach NeoplasmsCovariateStatisticsEconometricsHumansRegistriesSurvival analysisAgedParametric statisticsMathematicsModels StatisticalModel selectionMultivariable calculusAge FactorsMiddle AgedPrognosisSurvival AnalysisMultivariate AnalysisFemaleFranceLog-linear modelStatistics in Medicine
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Spatial Interaction between Neighbouring Counties: Cancer Mortality Data in Valencia (Spain)

1995

The statistical analysis of geographical mortality data has usually been approached via regression models that include appropriate covariates. These models assume stochastic independence of mortality counts for neighbouring sites, a questionable assumption that spatial automodels (Besag, 1974, Journal of the Royal Statistical Society, Series B 36, 192-236) make unnecessary. This paper presents the use of the autopoisson distribution in order to detect spatial interaction between neighbouring sites. If this interaction results in being nonsignificant, the auto-Poisson distribution reduces to a usual Poisson regression model, a particular case of generalized linear models (McCullagh and Nelde…

MaleStatistics and ProbabilityGeneralized linear modelGLIMPoisson distributionGeneral Biochemistry Genetics and Molecular Biologysymbols.namesakeStomach NeoplasmsNeoplasmsStatisticsCovariateHumansPoisson DistributionPoisson regressionFertilizersDemographyCancer mortalityModels StatisticalNitratesGeneral Immunology and MicrobiologyApplied MathematicsSpatial interactionProstatic NeoplasmsRegression analysisGeneral MedicineGeographyUrinary Bladder NeoplasmsSpainColonic NeoplasmssymbolsRegression AnalysisGeneral Agricultural and Biological SciencesDemographyBiometrics
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