Search results for "Decision Trees"

showing 10 items of 74 documents

Testing the potential significance of different scion/rootstock genotype combinations on the ecology of old cultivated olive trees in the southeast M…

2017

Background A previous multi-locus lineage (MLL) analysis of SSR-microsatellite data of old olive trees in the southeast Mediterranean area had shown the predominance of the Souri cultivar (MLL1) among grafted trees. The MLL analysis had also identified an MLL (MLL7) that was more common among rootstocks than other MLLs. We here present a comparison of the MLL combinations MLL1 (scion)/MLL7 (rootstock) and MLL1/MLL1 in order to investigate the possible influence of rootstock on scion phenotype. Results A linear regression analysis demonstrated that the abundance of MLL1/MLL7 trees decreases and of MLL1/MLL1 trees increases along a gradient of increasing aridity. Hypothesizing that grafting o…

0106 biological sciencesMediterranean climateOlive oil qualityAkaike information criterion (AIC) selection modelGenotypeGrafting (decision trees)Plant Roots010603 evolutionary biology01 natural sciencesTreesEnvironmental Science(all)Abundance (ecology)OleaEnvironmental conditionsCultivarSelectionEcology Evolution Behavior and SystematicsMulti-locus lineage analysisGeneral Environmental ScienceEcologybiologyMediterranean RegionEcologybiology.organism_classificationAridDroughtsOlive treesOleaRootstockResearch Article010606 plant biology & botanyBMC Ecology
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The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making

2017

International audience; Aim: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods.Material and Methods: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to…

0301 basic medicineMalePeri-implantitisGingival and periodontal pocketAlveolar Bone LossDentistry0302 clinical medicineRadiography DentalMedicinePeri-implantitisperiodontitis[SDV.MHEP.RSOA] Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system[SDV.MHEP.GEG] Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontology[SDV.MHEP.GEG]Life Sciences [q-bio]/Human health and pathology/Geriatry and gerontologyMiddle AgedPredictive value3. Good healthDental Implantation[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal systemFemaleOral SurgeryInfectionperi-implantitisAdultDecision treesClinical Decision-MakingDental PlaqueDental plaqueReal-Time Polymerase Chain Reaction03 medical and health sciencesHumansPeriodontal PocketPeriodontitisParvimonas micraData miningAgedPeriodontitisDental Implantsdecision treesbusiness.industryCase-control studydata mining; decision trees; infection; peri-implantitis; periodontitis030206 dentistrydata miningmedicine.diseaseinfection030104 developmental biologyCase-Control StudiesImplantbusinessTooth
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees

2017

Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks. Methods: The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model. Results: The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, o…

0301 basic medicineQuantitative structure–activity relationshipComputer scienceDatasets as TopicQuantitative Structure-Activity Relationshipcomputer.software_genre01 natural sciencesPermeability03 medical and health sciencesMolecular descriptorDrug DiscoveryInternational literatureComputer SimulationTraining setDecision tree learningDecision Trees0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyPharmaceutical PreparationsBlood-Brain BarrierTest setData miningBlood brain barrier permeabilitycomputerAlgorithmsDecision tree modelMedicinal Chemistry
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Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

2019

Este artículo se encuentra disponible en la siguiente URL: https://ashpublications.org/bloodadvances/article/3/21/3454/422749/Do-next-generation-sequencing-results-drive

0301 basic medicineSíndromes mielodisplásicos - Aspectos moleculares.Clinical Decision-MakingMEDLINEComputational biologyDNA sequencing03 medical and health sciences0302 clinical medicineText miningHumansMedicineGenetic Predisposition to DiseaseSangre - Células - Aspectos moleculares.Molecular Targeted TherapyGenes.Genetic Association StudiesBlood cells - Molecular aspects.business.industryDecision TreesDisease ManagementHigh-Throughput Nucleotide SequencingGenomicsHematologyPrognosisCombined Modality TherapyMyelodysplastic syndrome - Molecular aspects.030104 developmental biologyMyelodysplastic Syndromes030220 oncology & carcinogenesisMutationPoint-CounterpointMolecular biology.Biología molecular.businessBiomarkersBlood Advances
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Creación de un modelo estadístico predictivo para la determinación de las funciones de atenuación en español hablado

2018

Recientemente, algunos autores han definido distintas variables para caracterizar la atenuación lingüística en el marco de una base de datos multidimensional (Briz/Albelda; Albelda/otros). En este estudio se han seleccionado 982 elementos de atenuación de dieciocho entrevistas de español hablado; todos ellos han sido supervisados por hasta cuatro entrevistadores del proyecto Es.VaG.Atenuación. Finalmente, los datos se han evaluado mediante tres pruebas estadísticas para la clasificación y la reducción de variables: el análisis múltiple de correspondencias, el árbol de clasificaciones y el Random Forest. Las variables más determinantes en la discriminación de las funciones de atenuación han …

060201 languages & linguisticsLinguistics and LanguageRandom ForestLiterature and Literary TheoryFuncionesDecision treesAtenuaciónStatisticsEstadística06 humanities and the artsCastellà parlatLanguage and LinguisticsÁrbol de decisionesRandom forestSpeech actFunctions MitigationMultiple correspondence analysis0602 languages and literatureLarge groupHumanitiesMathematicsRilce. Revista de Filología Hispánica
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Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

2012

We present an algorithm estimating the width of retinal vessels in fundus camera images. The algorithm uses a novel parametric surface model of the cross-sectional intensities of vessels, and ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. We report comparative tests with REVIEW, currently the public database of reference for retinal width estimation, containing 16 images with 193 annotated vessel segments and 5066 profile points annotated manually by three independent experts. Comparative tests are reported also with our own set of 378 vessel widths selected sparsely in 38 images from the Tayside Scotland diabetic retinopathy scre…

Accurate estimationComputer scienceStability (learning theory)Decision treeHealth Informaticscomputer.software_genreSensitivity and SpecificityPattern Recognition AutomatedSet (abstract data type)Parametric surfaceImage Interpretation Computer-AssistedHumansRadiology Nuclear Medicine and imagingFluorescein AngiographyHermite polynomialsDiabetic RetinopathySettore INF/01 - InformaticaRadiological and Ultrasound TechnologyReproducibility of ResultsRetinal VesselsImage EnhancementComputer Graphics and Computer-Aided DesignData setComputer Vision and Pattern RecognitionData miningRetinal images Vessel width Multiresolution Hermite model Ensembles of bagged decision trees Medical image analysiscomputerAlgorithmsTest dataRetinoscopyMedical image analysis
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Active learning strategies for the deduplication of electronic patient data using classification trees.

2012

Graphical abstractDisplay Omitted Highlights? Active learning for medical record linkage is used on a large data set. ? We compare a simple active learning strategy with a more sophisticated variant. ? The active learning method of Sarawagi and Bhamidipaty (2002) 6] is extended. ? We deliver insights into the variations of the results due to random sampling in the active learning strategies. IntroductionSupervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether…

Active learningComputer scienceActive learning (machine learning)Information Storage and RetrievalContext (language use)Health InformaticsSemi-supervised learningMachine learningcomputer.software_genreSet (abstract data type)Artificial IntelligenceBaggingData deduplicationElectronic Health RecordsHumansbusiness.industryString (computer science)Decision TreesOnline machine learningComputer Science ApplicationsData miningArtificial intelligenceMedical Record LinkageString metricbusinesscomputerAlgorithmsJournal of biomedical informatics
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Negative biopsy of focal hepatic lesions: Decision tree model for patient management

2019

OBJECTIVE. The purpose of this study was to investigate patient- and procedure-related variables affecting the false-negative rate of ultrasound (US)-guided liver biopsy and to develop a standardized patient-tailored predictive model for the management of negative biopsy results. MATERIALS AND METHODS. We retrospectively included 389 patients (mean age ± SD, 62 ± 12 years old) who had undergone US-guided liver biopsy of 405 liver lesions between January 1, 2013, and June 30, 2015. We collected multiple patient- and procedure-related variables. By comparing pathology reports of biopsy and the reference standard (further histology or imaging follow-up), we were able to categorize the biopsy r…

AdultImage-Guided BiopsyMalemedicine.medical_specialtyRadiology Nuclear Medicine and ImagingFalse Negative Result030218 nuclear medicine & medical imaging03 medical and health sciencesCore biopsyFalse-negative result0302 clinical medicineBiopsymedicineHumansFalse Negative ReactionsUltrasonography InterventionalAgedRetrospective StudiesAged 80 and overFine-needle aspirationmedicine.diagnostic_testUS-guided liver biopsybusiness.industryLiver DiseasesDecision TreesUltrasoundnutritional and metabolic diseasesGeneral MedicineMiddle AgedPatient managementDiagnostic errorFine-needle aspiration030220 oncology & carcinogenesisLiver biopsyFemaleRadiologybusinessCore biopsyDecision tree model
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Factors of local recurrence and organ preservation with transoral laser microsurgery in laryngeal carcinomas; CHAID decision-tree analysis.

2018

BACKGROUND Indications of transoral laser microsurgery (TLM) are conditioned by the risk of local relapse. OBJECTIVE To evaluate prognostic factors of local relapse and local control with TLM (LC-TLM). METHODS Local relapse and LC-TLM were evaluated in 1119 patients. Logistic regression and CHAID decision tree analysis were performed. RESULTS Local relapse correlated to previous radiotherapy failure (8.45, CI 95%: 2.64-27.03; P < .001), paraglottic involvement (2.42, CI: 1.41-4.15; P = .001), anterior commissure involvement (2.12, CI: 1.43-3.14; P < .001), grade of differentiation (1.74, CI: 1.18-2.57; P = .005), and alcohol consumption (1.4, CI: 0.99-1.98; P = .057). Local relapse tended t…

AdultMalemedicine.medical_specialtyMicrosurgerymedicine.medical_treatmentAnterior commissureLogistic regression03 medical and health sciencesYoung Adult0302 clinical medicineRisk FactorsMedicineHumansTransoral laser microsurgery030223 otorhinolaryngologyLaryngeal NeoplasmsAgedRetrospective StudiesAged 80 and overbusiness.industryCarcinomaDecision TreesOrgan PreservationMiddle AgedCHAIDSurgeryRadiation therapyLarynx carcinomaLogistic ModelsTreatment OutcomeOtorhinolaryngology030220 oncology & carcinogenesisFemaleLaser TherapyNeoplasm Recurrence LocalbusinessAlcohol consumptionHeadneck
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A decision tree to help determine the best timing and antiretroviral strategy in HIV-infected patients.

2011

SUMMARYOptimal antiretroviral strategies for HIV-infected patients still need to be established. To this end a decision tree including different antiretroviral strategies that could be adopted for HIV-infected patients was built. A 10-year follow-up was simulated by using transitional probabilities estimated from a large cohort using a time-homogeneous Markov model. The desired outcome was for patients to maintain a CD4 cell count of &gt;500 cells/mm3without experiencing AIDS or death. For patients with a baseline HIV viral load ⩾5 log10copies/ml, boosted protease inhibitor-based immediate highly active antiretroviral therapy (HAART) allowed them to spend 12% more time with CD4 ⩾500/mm3than…

AdultMalemedicine.medical_specialty[ INFO ] Computer Science [cs]EpidemiologyAnti-HIV AgentsDecision treeHIV InfectionsDrug Administration ScheduleCohort Studies03 medical and health sciences0302 clinical medicineLife ExpectancyAcquired immunodeficiency syndrome (AIDS)Internal medicineAntiretroviral Therapy Highly ActiveHiv infected patientsMedicineHumansProtease inhibitor (pharmacology)In patient[INFO]Computer Science [cs]Computer Simulation030212 general & internal medicineCd4 cell countComputingMilieux_MISCELLANEOUS0303 health sciences030306 microbiologybusiness.industryDecision TreesMiddle AgedViral Loadmedicine.diseaseAntiretroviral therapyMarkov Chains3. Good healthCD4 Lymphocyte CountInfectious DiseasesTreatment OutcomeImmunologyDisease ProgressionFemalebusinessViral loadFollow-Up StudiesEpidemiology and infection
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