Search results for "Health Informatics"

showing 10 items of 481 documents

BOGENVI: A Biomedical Ontology for Modelling Gene*Environment Interactions on Intermediate Phenotypes in Nutrigenomics Research

2008

Nutritional Genomics is demanding computing models and technological platforms in order to support acquisition, storage, management and presentation of all the information generated coming from heterogeneous sources: genotypes, environmental factors (diet and other life-style factors) and phenotypes (intermediate and final phenotypes). Our aim is to build a biomedical ontology in order to modelling gene*environment interactions on intermediate phenotypes by means of formalising and integrating genomic, environmental and phenotypic data, in the field of research on Nutritional Genomics applied to cardiovascular diseases and associated phenotypes. This ontology is part of a Health Information…

Nutritional genomicsbusiness.industryComputer scienceGenomicsWeb engineeringOntology (information science)computer.software_genreData scienceHealth informaticsComputingMethodologies_PATTERNRECOGNITIONNutrigenomicsInformation systemWeb servicebusinesscomputer2008 21st IEEE International Symposium on Computer-Based Medical Systems
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Classification and retrieval on macroinvertebrate image databases

2011

Aquatic ecosystems are continuously threatened by a growing number of human induced changes. Macroinvertebrate biomonitoring is particularly efficient in pinpointing the cause-effect structure between slow and subtle changes and their detrimental consequences in aquatic ecosystems. The greatest obstacle to implementing efficient biomonitoring is currently the cost-intensive human expert taxonomic identification of samples. While there is evidence that automated recognition techniques can match human taxa identification accuracy at greatly reduced costs, so far the development of automated identification techniques for aquatic organisms has been minimal. In this paper, we focus on advancing …

NymphAquatic OrganismsInsectaDatabases FactualComputer scienceBayesian probabilityta1172Health InformaticsMachine learningcomputer.software_genreData retrievalRiversSupport Vector MachinesImage Processing Computer-AssistedAnimalsMultilayer perceptronsEcosystemta113Network architectureBenthic macroinvertebrateta112Artificial neural networkta213business.industryBayesian networkBayes TheoremPerceptronClassificationRadial basis function networksComputer Science ApplicationsSupport vector machineBiomonitoringBayesian NetworksData miningArtificial intelligenceNeural Networks ComputerbusinesscomputerClassifier (UML)AlgorithmsEnvironmental MonitoringComputers in Biology and Medicine
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A Prognostic Model for Estimating the Time to Virologic Failure in HIV-1 Infected Patients Undergoing a New Combination Antiretroviral Therapy Regimen

2011

Abstract Background HIV-1 genotypic susceptibility scores (GSSs) were proven to be significant prognostic factors of fixed time-point virologic outcomes after combination antiretroviral therapy (cART) switch/initiation. However, their relative-hazard for the time to virologic failure has not been thoroughly investigated, and an expert system that is able to predict how long a new cART regimen will remain effective has never been designed. Methods We analyzed patients of the Italian ARCA cohort starting a new cART from 1999 onwards either after virologic failure or as treatment-naïve. The time to virologic failure was the endpoint, from the 90th day after treatment start, defined as the firs…

OncologyMaleAdult; Anti-HIV Agents; Cohort Studies; Drug Therapy Combination; Female; HIV Infections; HIV-1; Humans; Male; Middle Aged; Proportional Hazards Models; Treatment Failure; Viral LoadHIV InfectionsCohort Studies0302 clinical medicineANTIRETROVIRAL THERAPYMedicineHIV Infection030212 general & internal medicineTreatment Failure0303 health sciencesHealth PolicyMiddle AgedViral Load3. Good healthComputer Science ApplicationsCensoring (clinical trials)CohortCombinationlcsh:R858-859.7Drug Therapy CombinationFemaleViral loadHumanResearch ArticleCartAdultmedicine.medical_specialtyAnti-HIV AgentsHIV-1; antiretroviral therapyHealth InformaticsSettore MED/17 - MALATTIE INFETTIVElcsh:Computer applications to medicine. Medical informatics03 medical and health sciencesDrug TherapyInternal medicineHumansSurvival analysisProportional Hazards Models030306 microbiologybusiness.industryProportional hazards modelAdult; Anti-HIV Agents; Cohort Studies; Drug Therapy Combination; Female; HIV Infections; HIV-1; Humans; Male; Middle Aged; Proportional Hazards Models; Treatment Failure; Viral Load; Health Informatics; Health PolicyANTIRETROVIRAL DRUGSAnti-HIV AgentHIVGENOTYPESDiscontinuationRegimenImmunologyProportional Hazards ModelHIV-1Cohort StudiebusinessBMC Medical Informatics and Decision Making
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A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements

2017

International audience; In this paper, a novel system-level mathematical model of the Basal Ganglia (BG) for kinematic planning, is proposed. An arm composed of several segments presents a geometric redundancy. Thus, selecting one trajectory among an infinite number of possible ones requires overcoming redundancy, according to some kinds of optimization. Solving this optimization is assumed to be the function of BG in planning. In the proposed model, first, a mathematical solution of kinematic planning is proposed for movements of a redundant arm in a plane, based on minimizing energy consumption. Next, the function of each part in the model is interpreted as a possible role of a nucleus of…

Optimization0301 basic medicineComputer scienceDopamineParkinson's diseaseModels NeurologicalHealth InformaticsKinematicsCross productIndirect pathway of movementBasal Ganglia03 medical and health sciencesMathematical model0302 clinical medicineControl theoryRedundancy (engineering)HumansVector calculusSimulationKinematic planningComputational BiologyParkinson DiseaseFunction (mathematics)Biomechanical PhenomenaComputer Science Applications030104 developmental biology[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]ArmTrajectoryVector calculusRotation (mathematics)Algorithms030217 neurology & neurosurgeryComputers in Biology and Medicine
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Crossing Borders: An Online Interdisciplinary Course in Health Informatics for Students From Two Countries.

2017

A cross-countries and interprofessional novel approach for delivering an international interdisciplinary graduate health informatics course online is presented. Included in this discussion are the challenges, lessons learned, and pedagogical recommendations from the experiences of teaching the course. Four professors from three different fields and from three universities collaborated in offering an international health informatics course for an interdisciplinary group of 18 US and seven Norwegian students. Highly motivated students and professors, an online technology infrastructure that supported asynchronously communication and course delivery, the ability to adapt the curriculum to meet…

Organizational Behavior and Human Resource ManagementNursing (miscellaneous)020205 medical informaticsUniversitiesStrategy and ManagementPharmaceutical ScienceHealth Informatics02 engineering and technologyHealth informaticsInformation scienceCourse (navigation)Drug DiscoveryComputingMilieux_COMPUTERSANDEDUCATION0202 electrical engineering electronic engineering information engineeringHumansCooperative BehaviorStudentsCurriculumSimulationMarketingPharmacologyMedical educationInternetbusiness.industryNorway05 social sciences050301 educationInternational healthUnited StatesInformaticsThe InternetInterdisciplinary CommunicationCurriculumbusiness0503 educationMedical InformaticsContent managementComputers, informatics, nursing : CIN
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A visual framework to create photorealistic retinal vessels for diagnosis purposes

2020

The methods developed in recent years for synthesising an ocular fundus can be been divided into two main categories. The first category of methods involves the development of an anatomical model of the eye, where artificial images are generated using appropriate parameters for modelling the vascular networks and fundus. The second type of method has been made possible by the development of deep learning techniques and improvements in the performance of hardware (especially graphics cards equipped with a large number of cores). The methodology proposed here to produce high-resolution synthetic fundus images is intended to be an alternative to the increasingly widespread use of generative ad…

PLUS DISEASEData augmentationFundus OculiComputer scienceCOMPUTER-AIDED DIAGNOSISIMAGESSEGMENTATIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHealth InformaticsSynthetic retinal imageFundus (eye)Fundus image analysisStatistical featuresTORTUOSITY03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedComputer vision030212 general & internal medicineGraphics030304 developmental biologyGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesSettore INF/01 - Informaticabusiness.industryDeep learningRetinal VesselsReal imageComputer Science ApplicationsPredictive evaluation diseasesFILTERA priori and a posterioriArtificial intelligencebusinessSYSTEMJournal of Biomedical Informatics
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Implementation of the norwegian ‘Starting right’ child health service innovation: implementation adjustments, adoption, and acceptability

2021

Abstract Background An increased and/or stable proportion of the child and adolescent population reports symptoms of impaired health, and the symptoms can be identified early. Therefore, structured child- and parent-reported outcome measures need to be implemented in child and school health services for decision support and identification of children at risk. We aimed to (a) qualitatively examine adjustments of active implementation from the pilot implementation of the Norwegian ‘Starting Right’ health service innovation including an online child health assessment tool and practical routines, and (b) measure practitioners´ adoption and parental acceptability. Methods We used a mixed-methods…

Parentsmedicine.medical_specialtyEvidence-based practicePopulationChild Health ServicesNorwegianHealth informaticsCore conceptsHealth administration03 medical and health sciences0302 clinical medicineEvidence‐based practiceHealth service innovationSurveys and QuestionnairesMedicineHumans0501 psychology and cognitive sciences030212 general & internal medicineService innovationeducationChildSchool Health ServicesChild healthMedical educationeducation.field_of_studybusiness.industryNorwayHealth PolicyNursing researchPublic healthlcsh:Public aspects of medicine05 social sciencesPublic health nurseslcsh:RA1-1270School healthVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850language.human_languageDecision supportVDP::Medisinske Fag: 700::Helsefag: 800ImplementationChild PreschoollanguageFemalebusiness050104 developmental & child psychologyResearch ArticleBMC Health Services Research
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An optimal code for patient identifiers.

2004

How to distinguish 1 billion individuals by an identifier consisting of eight characters, allowing a reasonable amount of error detection or even error correction? Our solution of this problem is an optimal code over a 32-character alphabet that detects up to two errors and corrects one error as well as a transposition of two adjacent characters. The corresponding encoding and error checking algorithms are available for free; they are also embedded as components of the pseudonymisation service that is used in the TMF-the German telematics platform for health research networks.

Patient Identification SystemsComputer scienceTransposition (telecommunications)Health Informaticscomputer.software_genreComputer Science ApplicationsIdentifierCode (cryptography)Data miningConstant-weight codeAlphabetError detection and correctionAlgorithmcomputerSoftwareAlgorithmsConfidentialityMathematicsComputer methods and programs in biomedicine
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Bagging, bumping, multiview, and active learning for record linkage with empirical results on patient identity data

2011

Record linkage or deduplication deals with the detection and deletion of duplicates in and across files. For this task, this paper introduces and evaluates two new machine-learning methods (bumping and multiview) together with bagging, a tree-based ensemble-approach. Whereas bumping represents a tree-based approach as well, multiview is based on the combination of different methods and the semi-supervised learning principle. After providing a theoretical background of the methods, initial empirical results on patient identity data are given. In the empirical evaluation, we calibrate the methods on three different kinds of training data. The results show that the smallest training data set, …

Patient Identification SystemsTraining setComputer scienceActive learning (machine learning)business.industryHealth InformaticsEmpirical Researchcomputer.software_genreMachine learningComputer Science ApplicationsTask (project management)Set (abstract data type)Tree (data structure)Artificial IntelligenceIdentity (object-oriented programming)HumansBumpingMedical Record LinkageArtificial intelligenceData miningbusinesscomputerSoftwareRecord linkageComputer Methods and Programs in Biomedicine
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A human factors intervention in a hospital - evaluating the outcome of a TeamSTEPPS program in a surgical ward

2021

AbstractBackgroundPatient safety in hospitals is being jeopardized, since too many patients experience adverse events. Most of these adverse events arise from human factors, such as inefficient teamwork and communication failures, and the incidence of adverse events is greatest in the surgical area. Previous research has shown the effect of team training on patient safety culture and on different areas of teamwork. Limited research has investigated teamwork in surgical wards. The aim of this study was to evaluate the professional and organizational outcomes of a team training intervention among healthcare professionals in a surgical ward after 6 and 12 months. Systems Engineering Initiative…

Patient safety cultureSafety Managementmedia_common.quotation_subjectSEIPS 2.0TeamSTEPPSeducationInterprofessional teamworkContext (language use)InterventionNursingHealth informaticsHealth administration03 medical and health sciencesPatient safety0302 clinical medicineNursingIntervention (counseling)MedicineHumans030212 general & internal medicinemedia_commonPatient Care TeamTeamworkpasientsikkerhet:Medisinske Fag: 700::Helsefag: 800 [VDP]business.industryNorway030503 health policy & servicesHealth PolicyNursing researchClinical study designOmvårdnadlcsh:Public aspects of medicineTeam traininglcsh:RA1-1270HospitalsVDP::Medisinske Fag: 700::Helsefag: 800ImplementationLongitudinalPatient Safety0305 other medical sciencebusinessHuman factorsResearch ArticleSEIPS 2.0
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