Search results for "boost"

showing 10 items of 169 documents

Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
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Boosting Signal-to-Noise in Complex Biology: Prior Knowledge Is Power

2011

A major difficulty in the analysis of complex biological systems is dealing with the low signal-to-noise inherent to nearly all large biological datasets. We discuss powerful bioinformatic concepts for boosting signal-to-noise through external knowledge incorporated in processing units we call filters and integrators. These concepts are illustrated in four landmark studies that have provided model implementations of filters, integrators, or both.

0303 health sciencesLandmarkBoosting (machine learning)Biochemistry Genetics and Molecular Biology(all)business.industryBiologyMachine learningcomputer.software_genreBioinformaticsGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisIntegratorArtificial intelligencebusinesscomputerImplementation030304 developmental biologyCell
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Mitigation and boosting as face-protection functions

2020

Abstract Mitigation is undeniably and necessarily linked with the social aspect of communication. No speaker mitigates an utterance without a goal in mind, which makes mitigation a means to an end and not an end in itself. Even though the various definitions of mitigation do not assign the same aims to this phenomenon, the social impact it has on the participants in the communication is generally agreed upon throughout the literature (Fraser, 1980; Meyer-Hermann, 1988; Bazzanella et al., 1991; Briz, 1998, 2003; Caffi, 1999; Thaler, 2012; Briz and Albelda, 2013; Schneider, 2013; Albelda et al., 2014; Albelda, 2016, 2018). In this paper, the mitigating and boosting strategies in relationship …

050101 languages & linguisticsLinguistics and LanguageBoosting (doping)business.industryComputer science05 social sciencesSocial impactcomputer.software_genre050105 experimental psychologyLanguage and LinguisticsArtificial IntelligencePhenomenon0501 psychology and cognitive sciencesArtificial intelligencebusinessReality televisioncomputerNatural language processingUtteranceJournal of Pragmatics
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An assessment of prime‐boost vaccination schedules with AS03A‐adjuvanted prepandemic H5N1 vaccines: a randomized study in European adults

2012

Please cite this paper as: Gillard et al. (2012) An assessment of prime‐boost vaccination schedules with AS03A‐adjuvanted prepandemic H5N1 vaccines: a randomized study in European adults. Influenza and Other Respiratory Viruses DOI: 10.1111/j.1750‐2659.2012.00349.x. Background  Long‐term persistence of immune response and safety of an H5N1 prepandemic influenza vaccine adjuvanted with AS03 (an α‐tocopherol oil‐in‐water emulsion‐based adjuvant system) was evaluated using various prime‐boost schedules that mimicked potential pandemic scenarios (NCT00430521). Methods  Five hundred and twelve healthy adults aged 18–60 years received primary vaccination with one or two doses (0, 21 days schedule…

AdultMaleAdolescentalpha-TocopherolImmunization SecondaryAntibodies ViralAS03Young Adultprime‐boostAdjuvants ImmunologicInfluenza HumanHumansAdjuvantImmunization ScheduleInfluenza A Virus H5N1 SubtypeVaccinationOriginal ArticlesH5N1Hemagglutination Inhibition TestsMiddle AgedAntibodies NeutralizingTreatment OutcomeInfluenza VaccinesOriginal ArticleFemaleinfluenzaprepandemicInfluenza and Other Respiratory Viruses
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Single dose vaccination with AS03-adjuvanted H5N1 vaccines in a randomized trial induces strong and broad immune responsiveness to booster vaccinatio…

2009

Priming a population with a pre-pandemic vaccine is being considered to maximize the response upon subsequent vaccination with a true pandemic vaccine more closely matched to the causative pandemic strain. The present study explored this prime-boost concept by evaluating different primary schedules with the pre-pandemic A/Vietnam/1194/2004(NIBRG-14) vaccine, containing 3.75 microg of HA, followed by a 6-month booster with a vaccine formulated with 3.75 microg HA of either the same strain or with A/Indonesia/05/2005(IBCDC-RG2), a heterologous strain from a different clade. In this multicentre, open, randomized study (NCT00430521) we measured immune responses in four groups (N = 48-60) of adu…

AdultMalePediatricsmedicine.medical_specialtyAdolescentCross Protectionmedicine.medical_treatmentPopulationImmunization SecondaryBooster doseAntibodies ViralYoung AdultAdjuvants ImmunologicImmunityInfluenza Humanparasitic diseasesmedicineHumansAS03educationeducation.field_of_studyBooster (rocketry)Influenza A Virus H5N1 SubtypeGeneral VeterinaryGeneral Immunology and Microbiologybusiness.industryPublic Health Environmental and Occupational HealthHemagglutination Inhibition TestsMiddle AgedImmunity HumoralVaccinationInfectious DiseasesImmunizationInfluenza VaccinesImmunologyMolecular MedicineFemalebusinessAdjuvantVaccine
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Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)

2014

Background: Meningococcal C (MenC) conjugate vaccines have controlled invasive diseases associated with this serogroup in countries where they are included in National Immunization Programs and also in an extensive catch-up program involving subjects up to 20 years of age. Catch-up was important, not only because it prevented disease in adolescents and young adults at risk, but also because it decreased transmission of the bacteria, since it was in this age group where the organism was circulating. Our objective is to develop a new vaccination schedule to achieve maximum seroprotection in these groups. Methods: A recent study has provided detailed age-structured information on the seroprote…

AdultMalePediatricsmedicine.medical_specialtyAdolescentVaccination scheduleMeningococcal VaccinesDiseaseBooster doseMeningococcal vaccineVaccination programsYoung AdultMeningococcal C conjugate vaccinesmedicineHumansYoung adultChildImmunization Programsbusiness.industryIncidence (epidemiology)VaccinationSeroprotection studyMiddle AgedAgent-based modellingMeningococcal InfectionsVaccinationInfectious DiseasesImmunizationSpainChild PreschoolFemaleMATEMATICA APLICADAbusinessResearch ArticleBMC Infectious Diseases
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How increased pertussis vaccination coverage is changing the epidemiology of pertussis in Italy.

2005

Abstract The epidemiology of pertussis in Italy is described by using data from the statutory notification system and from seroepidemiology studies. Starting from the 1990s, the incidence of pertussis in Italy has shown a sharp decline and is now at the lowest level ever reached. During this time period vaccination coverage has increased from 88% in 1998 to 95% in 2003. In 1996–97, the prevalence of subjects with levels of IgG antibodies against PT greater than 2 EU/ml was 77.6%. The increase in vaccination coverage will probably change the pattern of disease transmission and increase the number of susceptible adults, unless administration of booster doses to adolescents and adults is consi…

AdultMalemedicine.medical_specialtyPediatricsAdolescentWhooping CoughImmunization SecondaryMandatory ProgramsMass VaccinationPertussiSeroepidemiologic StudiesEpidemiologyMedicineHumansPertussis vaccinationRegistriesChildWhooping coughSeroepidemiologyVaccination coveragePertussis VaccineBooster (rocketry)General VeterinaryGeneral Immunology and Microbiologybusiness.industryIncidence (epidemiology)Public Health Environmental and Occupational HealthAge FactorsInfantmedicine.diseaseAntibodies BacterialInfectious DiseasesItalyVaccination coverageChild PreschoolPopulation SurveillanceImmunologyMolecular MedicineFemalebusinessTos ferinaDisease transmissionVaccine
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Experts’ Opinion for Improving Pertussis Vaccination Rates in Adolescents and Adults: A Call to Action

2022

This article highlights the importance of diphtheria-tetanus-acellular pertussis (with reduced antigen content, dTap) vaccination in preventing pertussis, a respiratory infection that is still widespread and easily transmitted. In particular, it highlights the need to receive a booster vaccination throughout life to maintain high antibody levels, which decrease through time. This document collects the opinions that emerged from the comparison between major Italian experts in the field of vaccination. This working group was created to promote a “call to action”, aimed at raising awareness among all institutions, public health authorities, and health workers involved in the vaccination proces…

AdultTetanuspertussis vaccineAdolescentWhooping CoughHealth Toxicology and MutagenesisVaccinationpertussis vaccine in pregnancy.Public Health Environmental and Occupational Healthpertussis booster for adultDiphtheriapertussis immunity durationDiphtheria-Tetanus-acellular Pertussis VaccinesAntibodies Bacterialpertussis immunizationdTap vaccinePregnancypertussiHumansFemaleDiphtheria-Tetanus-Pertussis VaccineInternational Journal of Environmental Research and Public Health
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Anti-diphtheria antibody seroprotection rates are similar 10 years after vaccination with dTpa or DTPa using a mathematical model

2003

The reduced antigen content diphtheria, tetanus and pertussis (dTpa) vaccine (Boostrixtrade mark) has been shown to induce a strong booster response to all the vaccine components in 4-6 year olds. However, anti-diphtheria antibody levels were observed to be lower when compared to the "full strength" paediatric DTPa vaccine. To assess the impact of this difference on long-term protection, a mathematical model was developed to predict diphtheria antibody decay over time. The model was based on a linear decrease in log-transformed antibody concentrations after the first year post-vaccination. When applied to data collected 3.5 years after vaccination of 4-6 year olds with either DTPa or dTpa, …

AdultTime Factorsanimal diseasesImmunization SecondaryModels Biologicalcomplex mixturesCohort StudiesAntigenmedicineHumansChildDiphtheria-Tetanus-Pertussis VaccineImmunization ScheduleRandomized Controlled Trials as TopicBooster (rocketry)General VeterinaryGeneral Immunology and MicrobiologybiologyTetanusbusiness.industryDiphtheriaVaccinationPublic Health Environmental and Occupational HealthDiphtheriarespiratory systemmedicine.diseaseAntibodies BacterialVaccinationInfectious DiseasesImmunizationChild PreschoolImmunologycardiovascular systembiology.proteinMolecular MedicineAntibodybusinessDiphtheria antibodycirculatory and respiratory physiologyVaccine
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A weighted distance-based approach with boosted decision trees for label ranking

2023

Label Ranking (LR) is an emerging non-standard supervised classification problem with practical applications in different research fields. The Label Ranking task aims at building preference models that learn to order a finite set of labels based on a set of predictor features. One of the most successful approaches to tackling the LR problem consists of using decision tree ensemble models, such as bagging, random forest, and boosting. However, these approaches, coming from the classical unweighted rank correlation measures, are not sensitive to label importance. Nevertheless, in many settings, failing to predict the ranking position of a highly relevant label should be considered more seriou…

Artificial IntelligenceDecision treesGeneral EngineeringLabel rankingWeighted ranking dataEnsemble methodBoostingComputer Science ApplicationsExpert Systems with Applications
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