Search results for "vector [form factor]"

showing 10 items of 770 documents

Dosage individualization of erythropoietin using a profile-dependent support vector regression

2003

The external administration of recombinant human erythropoietin is the chosen treatment for those patients with secondary anemia due to chronic renal failure in periodic hemodialysis. The objective of this paper is to carry out an individualized prediction of the EPO dosage to be administered to those patients. The high cost of this medication, its side-effects and the phenomenon of potential resistance which some individuals suffer all justify the need for a model which is capable of optimizing dosage individualization. A group of 110 patients and several patient factors were used to develop the models. The support vector regressor (SVR) is benchmarked with the classical multilayer percept…

AdultAnemia HemolyticInjections SubcutaneousAutoregressive conditional heteroskedasticityBiomedical EngineeringMachine learningcomputer.software_genreCohort StudiesHemoglobinsRenal DialysisFeature (machine learning)HumansMedicineSensitivity (control systems)Time seriesErythropoietinAgedAged 80 and overArtificial neural networkbusiness.industryMiddle AgedRecombinant ProteinsRegressionDrug Therapy Computer-AssistedRegression PsychologySupport vector machineTreatment OutcomeMultilayer perceptronKidney Failure ChronicNeural Networks ComputerArtificial intelligencebusinesscomputerAlgorithmsBiomedical engineeringIEEE Transactions on Biomedical Engineering
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Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

2013

HighlightsDifferent prediction algorithms were used to predict Hb levels in CRF patients.Prediction errors in the validation cohorts of patients were around 0.6g/dl.Difficulty to obtain lower errors due to the measuring machine precision (0.2g/dl).Relevance analysis of features have been applied for each predictor. Patients who suffer from chronic renal failure (CRF) tend to suffer from an associated anemia as well. Therefore, it is essential to know the hemoglobin (Hb) levels in these patients. The aim of this paper is to predict the hemoglobin (Hb) value using a database of European hemodialysis patients provided by Fresenius Medical Care (FMC) for improving the treatment of this kind of …

AdultMaleAdolescentmedicine.medical_treatmentHealth InformaticsMachine learningcomputer.software_genreDisease clusterSensitivity and SpecificityHemoglobinsYoung AdultArtificial IntelligenceRenal DialysismedicineHumansComputer SimulationCluster analysisErythropoietinAgedAged 80 and overDose-Response Relationship DrugArtificial neural networkbusiness.industryModels CardiovascularLinear modelReproducibility of ResultsAnemiaMiddle AgedRegressionDrug Therapy Computer-AssistedComputer Science ApplicationsSupport vector machineTreatment OutcomeAdaptive resonance theoryFemaleHemodialysisArtificial intelligenceDrug MonitoringbusinesscomputerAlgorithmsBiomarkersSoftwareComputer Methods and Programs in Biomedicine
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Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regre…

2017

Objective Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, which does not allow us to make two identical steps. The purpose of this study was to examine changes in the intra-individual gait patterns across different time-scales (i.e., tens-of-mins, tens-of-hours). Methods Nine healthy subjects performed 15 gait trials at a self-selected speed on 6 sessions within one day (duration between two subsequent ses…

AdultMaleComputer and Information SciencesKinematicsPhysiologySocial SciencesWalkingHuman GeographyModels BiologicalMachine LearningArtificial IntelligenceSupport Vector MachinesMedicine and Health SciencesHumansLearningGaitMusculoskeletal SystemBehaviorData ProcessingGeographyBiological LocomotionPhysicsBiology and Life SciencesClassical MechanicsPhysical SciencesEarth SciencesHuman MobilityFemaleAnatomyGait AnalysisInformation TechnologyResearch ArticlePloS one
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis

2017

Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis of exhaled breath with an artificial olfactory sensor using support vector analysis can differentiate patients with lung cancer from healthy individuals and patients with other lung diseases, regardless of the stage of lung cancer and the most common comorbidities. Patients with histologically or cytologically verified lung cancer, healthy volunteers and patients with other lung diseases (e.g. chronic obstructive pulmonary disease (COPD), asthm…

AdultMalePulmonary and Respiratory Medicinemedicine.medical_specialtyPathologyLung NeoplasmsSupport Vector MachinePulmonary Disease Chronic Obstructive03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansElectronic NoseLung cancerSurvival rateAgedNeoplasm StagingAsthmaCOPDLungbusiness.industryCancerMiddle Agedrespiratory systemmedicine.diseaseHealthy Volunteersrespiratory tract diseasesPneumoniamedicine.anatomical_structureBreath Tests030228 respiratory systemExhalationCase-Control Studies030220 oncology & carcinogenesisFemaleSample collectionbusinessJournal of Breath Research
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Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps

2009

The aim of the study was to train and test support vector machines (SVM) and self-organizing maps (SOM) to correctly classify gait patterns before, during and after complete leg exhaustion by isokinetic leg exercises. Ground reaction forces were derived for 18 gait cycles on 9 adult participants. Immediately before the trials 7-12, participants were required to completely exhaust their calves with the aid of additional weights (44.4±8.8kg). Data were analyzed using: (a) the time courses directly and (b) only the deviations from each individual's calculated average gait pattern. On an inter-individual level the person recognition of the gait patterns was 100% realizable. Fatigue recognition …

AdultMaleSelf-organizing mapmedicine.medical_specialtySupport Vector MachineWeight LiftingComputer scienceIndividualityBiophysicsExperimental and Cognitive PsychologyPattern Recognition AutomatedYoung AdultPhysical medicine and rehabilitationmedicineHumansOrthopedics and Sports MedicineGround reaction forceGaitArtificial neural networkMuscle fatiguebusiness.industryBiomechanicsGeneral MedicineGaitBiomechanical PhenomenaSupport vector machineNonlinear DynamicsMuscle FatiguePattern recognition (psychology)Artificial intelligencebusinesshuman activitiesHuman Movement Science
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An ensemble analysis of electromyographic activity during whole body pointing with the use of support vector machines.

2011

Import JabRef | WosArea Life Sciences and Biomedicine - Other Topics; International audience; We explored the use of support vector machines (SVM) in order to analyze the ensemble activities of 24 postural and focal muscles recorded during a whole body pointing task. Because of the large number of variables involved in motor control studies, such multivariate methods have much to offer over the standard univariate techniques that are currently employed in the field to detect modifications. The SVM was used to uncover the principle differences underlying several variations of the task. Five variants of the task were used. An unconstrained reaching, two constrained at the focal level and two …

AdultMaleSupport Vector MachineNeural NetworksComputer sciencePosturelcsh:MedicineElectromyographyKinematicsMotor ActivityDIAGNOSISCLASSIFICATIONTask (project management)03 medical and health sciences0302 clinical medicineDiscriminative modelmedicineHumanslcsh:ScienceMuscle SkeletalBiology030304 developmental biologyComputational NeuroscienceMotor Systems0303 health sciencesCOORDINATIONMultidisciplinaryMOVEMENTSmedicine.diagnostic_testbusiness.industryElectromyographylcsh:RUnivariateMotor controlPattern recognitionBiomechanical PhenomenaSupport vector machineKernel methodEQUILIBRIUMPATTERNSARM[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]lcsh:QArtificial intelligencebusiness030217 neurology & neurosurgeryResearch ArticleNeurosciencePloS one
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Establishing cut-points for physical activity classification using triaxial accelerometer in middle-aged recreational marathoners

2018

The purpose of this study was to establish GENEA (Gravity Estimator of Normal Everyday Activity) cut-points for discriminating between six relative-intensity activity levels in middle-aged recreational marathoners. Nighty-eight (83 males and 15 females) recreational marathoners, aged 30-45 years, completed a cardiopulmonary exercise test running on a treadmill while wearing a GENEA accelerometer on their non-dominant wrist. The breath-by-breath V̇O2 data was also collected for criterion measure of physical activity categories (sedentary, light, moderate, vigorous, very vigorous and extremely vigorous). GENEA cut-points for physical activity classification was performed via Receiver Operatin…

AdultMaleSupport Vector MachinePhysical activitylcsh:Medicine030204 cardiovascular system & hematologyAccelerometerRunning03 medical and health sciences0302 clinical medicineSex FactorsCardiopulmonary exercise testStatisticsGeneaAccelerometryMedicineHumansCorrelation testTreadmilllcsh:ScienceMultidisciplinarybiologyReceiver operating characteristicbusiness.industryTriaxial accelerometerlcsh:R030229 sport sciencesMiddle Agedbiology.organism_classificationROC CurveArea Under CurveExercise TestFemalelcsh:QbusinessEnergy Metabolism
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''Modulation of Anticipatory Postural Activity For Multiple Conditions of A Whole-body Pointing Task''

2012

Tolambiya, A. | Chiovetto, E. | Pozzo, T. | Thomas, E.; International audience; ''This is a study on associated postural activities during the anticipatory segments of a multijoint movement. Several previous studies have shown that they are task dependant. The previous studies, however, have mostly been limited in demonstrating the presence of modulation for one task condition, that is, one aspect such as the distance of the target or the direction of reaching. Real-life activities like whole-body pointing, however, can vary in several ways. How specific is the adaptation of the postural activities for the diverse possibilities of a whole-body pointing task? We used a classification paradig…

AdultMalemedicine.medical_specialtyCORTEXSupport Vector MachineMovementPostureEMG ANALYSISAdaptation (eye)CLASSIFICATIONTask (project management)Physical medicine and rehabilitationModulation (music)medicineMotor activity''VOLUNTARY MOVEMENTSCommunicationCOORDINATIONbusiness.industryMovement (music)General NeuroscienceTARGET DISTANCEFeed forwardMotor controlBrainElectroencephalographyHUMANSAnticipation PsychologicalCLASSIFICATION''EQUILIBRIUMADJUSTMENTS[ SCCO.NEUR ] Cognitive science/NeurosciencePATTERNSVOLUNTARY MOVEMENTSbusinessPsychologyWhole bodyPsychomotor Performance
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Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support

2018

Objectives: to assess the diagnostic performance of a computer-guided decision- making software (S-Detect) in the US characterization of focal breast lesions (FBLs), according to the radiologist's experience. Materials and Methods: 300 FBLs (size: 2.6-47.2 mm; mean: 13.2 mm) in 255 patients (mean age: 51 years) were prospectively assessed in consensus according to BIRADS US lexicon by two experienced radiologists without and with S-Detect; to evaluate intra and inter-observer agreement, the same 300 FBLs were independently evaluated by two residents at baseline and after 3 months. Results: 120/300 (40%) FBLs were malignant, 2/300 (0.7%) high-risk and 178/300 (59.3%) benign. Experts review s…

AdultMalemedicine.medical_specialtySupport Vector MachineAdolescentdiagnosisBI-RADSBreast lesionneoplasmsBreast NeoplasmsBI-RADSLexiconComputer aidedBreast Neoplasms MaleDecision Support Techniques030218 nuclear medicine & medical imagingDiagnosis Differential03 medical and health sciences0302 clinical medicinePredictive Value of TestsmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedBreastBI-RADS; breast; computer aided; diagnosis; neoplasms; ultrasonographyAgedNeuroradiologyUltrasonographyAged 80 and overmedicine.diagnostic_testbusiness.industryInterventional radiologyGeneral MedicineMiddle Aged030220 oncology & carcinogenesisComputer-aidedNeoplasmFemaleUltrasonography MammaryRadiologyUltrasonographybusinessSettore MED/36 - Diagnostica Per Immagini E RadioterapiaDiagnosi
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Daily changes of individual gait patterns identified by means of support vector machines.

2016

Despite the common knowledge about the individual character of human gait patterns and about their non-repeatability, little is known about their stability, their interactions and their changes over time. Variations of gait patterns are typically described as random deviations around a stable mean curve derived from groups, which appear due to noise or experimental insufficiencies. The purpose of this study is to examine the nature of intrinsic inter-session variability in more detail by proving separable characteristics of gait patterns between individuals as well as within individuals in repeated measurement sessions. Eight healthy subjects performed 15 gait trials at a self-selected spee…

AdultMalemedicine.medical_specialtySupport Vector MachineMovementBiophysicsPoison controlKinematicsStability (probability)Models Biological03 medical and health sciences0302 clinical medicineGait (human)Physical medicine and rehabilitationRange (statistics)medicineHumansOrthopedics and Sports MedicineMultiple correlationGround reaction forceGaitMathematicsRehabilitation030229 sport sciencesRepeatabilityHealthy VolunteersBiomechanical PhenomenaCircadian RhythmPhysical therapyFemalehuman activities030217 neurology & neurosurgeryGaitposture
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