Search results for "Factual"

showing 10 items of 359 documents

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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Developing and validating a novel multisource comorbidity score from administrative data: a large population-based cohort study from Italy

2017

ObjectiveTo develop and validate a novel comorbidity score (multisource comorbidity score (MCS)) predictive of mortality, hospital admissions and healthcare costs using multiple source information from the administrative Italian National Health System (NHS) databases.MethodsAn index of 34 variables (measured from inpatient diagnoses and outpatient drug prescriptions within 2 years before baseline) independently predicting 1-year mortality in a sample of 500 000 individuals aged 50 years or older randomly selected from the NHS beneficiaries of the Italian region of Lombardy (training set) was developed. The corresponding weights were assigned from the regression coefficients of a Weibull sur…

MaleDatabases FactualKaplan-Meier Estimate030204 cardiovascular system & hematologySettore MED/42 - Igiene Generale E ApplicataSeverity of Illness IndexState MedicineCohort Studies0302 clinical medicineHealth careMedicineHospital Mortality1506Settore SECS-S/05 - Statistica Sociale030212 general & internal medicineMedical diagnosisAged 80 and overeducation.field_of_studyHealth Care CostsGeneral MedicineMiddle Agedprognostic scoreHospitalizationcomorbidityItalyadministrative databaseRegression AnalysisFemaleRisk AdjustmentPublic HealthCohort studyPopulationDrug PrescriptionsSettore MED/01 - Statistica Medica03 medical and health sciencesHumans1724Medical prescriptioneducationSurvival analysisAgedReceiver operating characteristicbusiness.industryResearchmedicine.diseaseComorbidityROC Curverecord linkagebusinessDemographyBMJ Open
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Comparison of Epithor clinical national database and medico-administrative database to identify the influence of case-mix on the estimation of hospit…

2019

BackgroundThe national Epithor database was initiated in 2003 in France. Fifteen years on, a quality assessment of the recorded data seemed necessary. This study examines the completeness of the data recorded in Epithor through a comparison with the French PMSI database, which is the national medico-administrative reference database. The aim of this study was to demonstrate the influence of data quality with respect to identifying 30-day mortality hospital outliers.MethodsWe used each hospital's individual FINESS code to compare the number of pulmonary resections and deaths recorded in Epithor to the figures found in the PMSI. Centers were classified into either the good-quality data (GQD) …

MaleDatabases FactualOutliers DRGPulmonologyCancer Treatment030204 cardiovascular system & hematologyLogistic regressionHealth administration0302 clinical medicineHospital AdministrationInterquartile rangeMedicine and Health SciencesMedicineHospital MortalityRespiratory System ProceduresMultidisciplinaryMortality rateQRRegression analysisHospitals3. Good healthSurgical OncologyOncologyMedicineFemaleRisk AdjustmentLung ResectionResearch ArticleClinical OncologyDeath RatesScienceSurgical and Invasive Medical Procedures03 medical and health sciencesCase mix indexPopulation MetricsHumansDiagnosis-Related GroupsPopulation BiologySurgical Resectionbusiness.industryBiology and Life SciencesModels TheoreticalHealth CareStandardized mortality ratioLogistic ModelsDyspnea030228 respiratory systemHealth Care Facilities[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieData quality[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieClinical MedicinebusinessDemography
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Discrimination of retinal images containing bright lesions using sparse coded features and SVM

2015

Diabetic Retinopathy (DR) is a chronic progressive disease of the retinal microvasculature which is among the major causes of vision loss in the world. The diagnosis of DR is based on the detection of retinal lesions such as microaneurysms, exudates and drusen in retinal images acquired by a fundus camera. However, bright lesions such as exudates and drusen share similar appearances while being signs of different diseases. Therefore, discriminating between different types of lesions is of interest for improving screening performances. In this paper, we propose to use sparse coding techniques for retinal images classification. In particular, we are interested in discriminating between retina…

MaleDatabases Factualgenetic structuresFeature extractionHealth Informatics02 engineering and technologyDrusen[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Retina030218 nuclear medicine & medical imaging03 medical and health scienceschemistry.chemical_compound0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineImage Processing Computer-AssistedHumansComputer visionRetinaDiabetic RetinopathyContextual image classificationbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]RetinalDiabetic retinopathymedicine.diseaseComputer Science ApplicationsSupport vector machinemedicine.anatomical_structurechemistry020201 artificial intelligence & image processingFemaleArtificial intelligenceNeural codingbusiness
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QTc Time Correlates with Amitriptyline and Venlafaxine Serum Levels in Elderly Psychiatric Inpatients

2018

Abstract Introduction Many antidepressants cause QT prolongation but the classification of cardiac risk of these drugs varies markedly in different published lists. This retrospective study analyzed the correlation of QTc time with amitriptyline and venlafaxine serum level in elderly psychiatric inpatients. Methods Elderly inpatients aged≥65 years for whom venlafaxine or amitriptyline serum level had been measured were selected retrospectively from a therapeutic drug monitoring database and screened for an electrocardiogram measurement at the time of blood withdrawal. The correlation of amitriptyline or venlafaxine serum levels with QTc time was examined by using Pearson’s correlation analy…

MaleDrugmedicine.medical_specialtyDatabases FactualAmitriptylinemedia_common.quotation_subjectVenlafaxineQT intervalElectrocardiography03 medical and health sciences0302 clinical medicineTherapeutic indexPharmacokineticsmedicineHumansPharmacology (medical)Amitriptyline030212 general & internal medicinePsychiatryAgedRetrospective Studiesmedia_commonAged 80 and overInpatientsmedicine.diagnostic_testbusiness.industryVenlafaxine HydrochlorideRetrospective cohort studyGeneral MedicineAntidepressive AgentsLong QT SyndromePsychiatry and Mental healthTherapeutic drug monitoringFemalebusiness030217 neurology & neurosurgerymedicine.drugPharmacopsychiatry
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Childhood central nervous system tumours – incidence and survival in Europe (1978–1997): Report from Automated Childhood Cancer Information System pr…

2006

Abstract This paper describes the incidence and survival of childhood central nervous system (CNS) tumours in Europe for the period 1978–1997. A total of 19,531 cases, aged 0–14 years, from the ACCIS database were analysed by five regions: the British Isles, East, North, South, and West. Overall age-standardised incidence rate (ASR) of CNS tumours in Europe (1988–1997) was 29.9 per million, with the highest rates in the North. Astrocytoma (ASR = 11.8), primitive neuroectodermal tumours (PNET) (ASR = 6.5) and ependymoma (ASR = 3.4) were the most frequent types. Incidence increased significantly during 1978–1997, on average by 1.7% per year. Diagnostic methods may partially explain incidence …

MaleEpendymomaCancer Researchmedicine.medical_specialtyAdolescentDatabases FactualChildhood cancerCentral nervous systemCentral Nervous System NeoplasmsEpidemiologymedicineHumansRegistriesChildcentral nervous system tumoursbusiness.industryIncidenceIncidence (epidemiology)Infant NewbornInfantChildhood cancers - survival - time trends; central nervous system tumoursAstrocytomaCancermedicine.diseaseSurvival AnalysisSurgeryEuropemedicine.anatomical_structureOncologyEl NiñoChild PreschoolFemalebusinessChildhood cancers - survival - time trendsDemographyEuropean Journal of Cancer
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A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness.

2019

In this paper, we present a method for automated estimation of a human face given a skull remain. The proposed method is based on three statistical models. A volumetric (tetrahedral) skull model encoding the variations of different skulls, a surface head model encoding the head variations, and a dense statistic of facial soft tissue thickness (FSTT). All data are automatically derived from computed tomography (CT) head scans and optical face scans. In order to obtain a proper dense FSTT statistic, we register a skull model to each skull extracted from a CT scan and determine the FSTT value for each vertex of the skull model towards the associated extracted skin surface. The FSTT values at p…

MaleFOS: Computer and information sciencesDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Statistics as TopicComputer Science - Computer Vision and Pattern RecognitionSocial SciencesDiagnostic RadiologyMathematical and Statistical TechniquesImage Processing Computer-AssistedMedicine and Health SciencesMusculoskeletal SystemTomographyPrincipal Component AnalysisRadiology and ImagingStatisticsQRClinical Laboratory Sciences004Physical SciencesMedicineFemaleAnatomic LandmarksAnatomyResearch ArticleAdultBiometrySoft TissuesImaging TechniquesScienceNeuroimagingNoseResearch and Analysis MethodsDiagnostic MedicineHumansStatistical MethodsSkeletonForensicsSkullBiology and Life SciencesComputed Axial TomographyBiological TissueFaceMultivariate AnalysisForensic AnthropologyLaw and Legal SciencesTomography X-Ray ComputedHeadMathematicsNeurosciencePLoS ONE
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Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Imag…

2021

The emergence of multi-parametric magnetic resonance imaging (mpMRI) has had a profound impact on the diagnosis of prostate cancers (PCa), which is the most prevalent malignancy in males in the western world, enabling a better selection of patients for confirmation biopsy. However, analyzing these images is complex even for experts, hence opening an opportunity for computer-aided diagnosis systems to seize. This paper proposes a fully automatic system based on Deep Learning that takes a prostate mpMRI from a PCa-suspect patient and, by leveraging the Retina U-Net detection framework, locates PCa lesions, segments them, and predicts their most likely Gleason grade group (GGG). It uses 490 mp…

MaleFOS: Computer and information sciencesMultidisciplinaryDatabases FactualComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionProstateProstatic NeoplasmsFOS: Physical sciencesPhysics - Medical PhysicsDeep LearningHumansMedical Physics (physics.med-ph)Multiparametric Magnetic Resonance Imaging
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Online reference database of European Y-chromosomal short tandem repeat (STR) haplotypes

2001

The reference database of highly informative Y-chromosomal short tandem repeat (STR) haplotypes (YHRD), available online at http://ystr.charite.de, represents the largest collection of male-specific genetic profiles currently available for European populations. By September 2000, YHRD contained 4688 9-locus (so-called "minimal") haplotypes, 40% of which have been extended further to include two additional loci. Establishment of YHRD has been facilitated by the joint efforts of 31 forensic and anthropological institutions. All contributing laboratories have agreed to standardize their Y-STR haplotyping protocols and to participate in a quality assurance exercise prior to the inclusion of any…

MaleGeneticseducation.field_of_studyInformation retrievalDatabases FactualPopulationHaplotypeMEDLINEPathology and Forensic MedicineEuropeGenetics PopulationGeographyHaplotypesTandem Repeat SequencesControl testY ChromosomeReference databaseHumansMicrosatelliteeducationLawGenotypingForensic Science International
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Dissecting the Heterogeneity of Macrophage Activation Syndrome Complicating Systemic Juvenile Idiopathic Arthritis

2015

Objective.To seek insights into the heterogeneity of macrophage activation syndrome (MAS) complicating systemic juvenile idiopathic arthritis (sJIA) through the analysis of a large patient sample collected in a multinational survey.Methods.International pediatric rheumatologists and hemato-oncologists entered their patient data, collected retrospectively, in a Web-based database. The demographic, clinical, laboratory, histopathologic, therapeutic, and outcome data were analyzed in relation to (1) geographic location of caring hospital, (2) subspecialty of attending physician, (3) demonstration of hemophagocytosis, and (4) severity of clinical course.Results.A total of 362 patients were incl…

MaleHEMOPHAGOCYTIC SYNDROMESInternationalityDatabases FactualHepatosplenomegalyJuvenileComorbidityHEMOPHAGOCYTIC LYMPHOHISTIOCYTOSISSeverity of Illness IndexHEMOPHAGOCYTIC LYMPHOHISTIOCYTOSIS; HEMOPHAGOCYTIC SYNDROMES; MACROPHAGE ACTIVATION SYNDROME; SYSTEMIC JUVENILE IDIOPATHIC ARTHRITIS; Adolescent; Age Distribution; Arthritis Juvenile; Child; Child Preschool; Cohort Studies; Comorbidity; Databases Factual; Female; Humans; Internationality; Macrophage Activation Syndrome; Male; Multivariate Analysis; Prevalence; Prognosis; Retrospective Studies; Severity of Illness Index; Sex Distribution; Survival Analysis; Immunology and Allergy; Rheumatology; ImmunologyCohort StudiesPrevalenceImmunology and AllergyChildMacrophage Activation SyndromePrognosisChild PreschoolFemaleHemophagocytosismedicine.symptommedicine.medical_specialtyAdolescentSYSTEMIC JUVENILE IDIOPATHIC ARTHRITISImmunologyHemophagocytic Lymphohistiocytosis Hemophagocytic Syndromes Macrophage activation syndromes Systemic Juvenile Idiopathic Arthritis Adolescent Age Distribution Arthritis Juvenile Child Child Preschool Cohort Studies Comorbidity Databases Factual Female Humans Internationality Macrophage Activation Syndrome Male Multivariate Analysis Prevalence Prognosis Retrospective Studies Severity of Illness Index Sex Distribution Survival Analysis Immunology and Allergy Rheumatology ImmunologyDatabasesAge DistributionRheumatologyInternal medicineSeverity of illnessmedicineHumansSex DistributionPreschoolFactualRetrospective StudiesHemophagocytic lymphohistiocytosisbusiness.industryArthritisRetrospective cohort studymedicine.diseaseSurvival AnalysisComorbidityArthritis JuvenileRheumatologyMacrophage activation syndromeMultivariate AnalysisImmunologyMacrophage activation syndromesbusinessThe Journal of Rheumatology
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