0000000000803409

AUTHOR

Jesús Pujol

showing 5 related works from this author

Assessment of Susceptibility Risk Factors for ADHD in Imaging Genetic Studies

2019

Objective: ADHD consists of a count of symptoms that often presents heterogeneity due to overdispersion and excess of zeros. Statistical inference is usually based on a dichotomous outcome that is underpowered. The main goal of this study was to determine a suited probability distribution to analyze ADHD symptoms in Imaging Genetic studies. Method: We used two independent population samples of children to evaluate the consistency of the standard probability distributions based on count data for describing ADHD symptoms. Results: We showed that the zero-inflated negative binomial (ZINB) distribution provided the best power for modeling ADHD symptoms. ZINB reveals a genetic variant, rs273342…

MaleGenotypeImaging geneticsPopulationNegative binomial distributionPolymorphism Single NucleotideADHD symptomsImaging Genetics03 medical and health sciencesImaging Three-Dimensional0302 clinical medicineOverdispersionRisk FactorsStatisticsmental disordersDevelopmental and Educational PsychologyStatistical inferenceHumansGenetic Predisposition to Disease0501 psychology and cognitive sciencesGenetic TestingLongitudinal StudiesPoisson DistributionProspective Studiesp-valueMAPRE2Childeducationchildhoodzero-inflated negative binomialeducation.field_of_studyModels Statisticalbasal ganglia perivascular volumes05 social sciencesMagnetic Resonance Imagingcount dataVirchow-Robin spaceBinomial DistributionClinical PsychologyAttention Deficit Disorder with HyperactivityChild PreschoolProbability distributionFemalePsychology030217 neurology & neurosurgery050104 developmental & child psychologyCount data
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A Genome-Wide Association Study of Attention Function in a Population-Based Sample of Children

2016

BACKGROUND: Attention function filters and selects behaviorally relevant information. This capacity is impaired in some psychiatric disorders and has been proposed as an endophenotype for Attention-Deficit/Hyperactivity Disorder; however, its genetic basis remains largely unknown. This study aimed to identify single nucleotide polymorphism (SNPs) associated with attention function. MATERIALS AND METHODS: The discovery sample included 1655 children (7-12 years) and the replication sample included 546 children (5-8 years). Five attention outcomes were assessed using the computerized Attentional Network Test (ANT): alerting, orienting, executive attention, Hit Reaction time (HRT) and the stand…

0301 basic medicineSocial Scienceslcsh:MedicineGenome-wide association studyBioinformatics0302 clinical medicineHuman geneticsMedicine and Health SciencesMedicinePsychologyAttentionlcsh:ScienceSalut mentalMultidisciplinaryGenètica humanaNeurodegenerative DiseasesGenomicsAlzheimer's diseaseNeurologyResearch ArticleHiperactivitatImaging TechniquesInfants -- DesenvolupamentBrain Structure and FunctionSingle-nucleotide polymorphismNeuroimagingNeuropsychiatric DisordersResearch and Analysis Methods03 medical and health sciencesNeuroimagingDevelopmental NeuroscienceAlzheimer DiseaseMental Health and PsychiatryGenome-Wide Association StudiesGeneticsSNPAllelesbusiness.industrylcsh:RCognitive PsychologyBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisHuman genetics030104 developmental biologyMalaltia d'AlzheimerGenetic LociNeurodevelopmental DisordersEndophenotypeMultiple comparisons problemCognitive ScienceDementiaAdhdlcsh:Qbusiness030217 neurology & neurosurgeryNeuroscience
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Effect of Occupational Exposure on A(H1N1)pdm09 Infection and Hospitalization.

2016

OBJECTIVE To analyze relationships between occupational exposure and influenza infection and hospitalization during the 2009-2010 pandemic wave and the 2010-2011 influenza seasonal epidemic in Spain. METHODS Occupations were classified as high, medium, or low risk of influenza exposure. To assess the risk of infection, 588 outpatient cases of influenza confirmed by reverse-transcription polymerase-chain-reaction (RT-PCR) were compared with 588 outpatients without influenza symptoms. To assess the risk of hospitalization, 337 outpatient influenza cases were compared with 337 inpatient influenza cases. RESULTS The high risk of occupational exposure group was composed only of health care worke…

0301 basic medicineAdultMalemedicine.medical_specialtyAdolescentHealth Personnel030106 microbiology03 medical and health sciences0302 clinical medicineInfluenza A Virus H1N1 SubtypeVaccination statusRisk FactorsOccupational ExposureHealth carePandemicInfluenza HumanMedicineHumans030212 general & internal medicineRisk factorPandemicsbusiness.industryRisk of infectionPublic Health Environmental and Occupational HealthAge Factorsvirus diseasesGeneral MedicineMiddle AgedA h1n1 pdm09HospitalizationSpainEmergency medicineFemaleOccupational exposurePredictive variablesbusinessThe Annals of occupational hygiene
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Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis

2011

In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning stops once this set has been processed. Training these classifiers requires a representative amount of data, but the gathering, preprocess, and validation of samples is expensive and time-consuming. Therefore, for a classical, non-incremental approach to ML, it is necessary to wait long enough to collect all the required data. In contrast, an incremental learning approach may allow us to build an initial classifier with a smaller number of samples and update it incrementally…

Graybill-Deal estimatorDatabases FactualComputer sciencePopulation-based incremental learningGaussianTraining setsHealth InformaticsMachine learningcomputer.software_genreIncremental algorithmPersonalizationsymbols.namesakeAutomatic brain tumour diagnosisArtificial IntelligenceNumber of samplesMachine learningMagnetic resonance spectroscopyHumansPreprocessIncremental learningTraining setbusiness.industryBrain NeoplasmsBrain tumoursEstimatorComputational BiologyPattern recognitionLinear discriminant analysisMagnetic Resonance ImagingDiscriminant analysisTranslational research Tissue engineering and pathology [ONCOL 3]Graybill–Deal estimatorComputer Science ApplicationsGaussiansMagnetic resonanceFISICA APLICADAIncremental learningsymbolsEmpirical resultsArtificial intelligencebusinessClassifier (UML)computerEstimationAlgorithmsJournal of Biomedical Informatics
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Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …

Multicenter evaluation studyDecision support systemComputer scienceBiophysicsBrain tumorDecision support systemsMachine learningcomputer.software_genreSensitivity and SpecificityBrain tumorsHealth informaticsAnalytical ChemistryPattern Recognition AutomatedArtificial IntelligenceMagnetic resonance spectroscopyBiomarkers TumorCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedRadiological and Ultrasound TechnologyBrain Neoplasmsbusiness.industryReproducibility of ResultsPattern classificationmedicine.diseaseR1EuropeRadiology Nuclear Medicine and imagingFISICA APLICADAArtificial intelligencebusinesscomputerAlgorithmsResearch ArticleMagma
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