2023
AuDrA: An automated drawing assessment platform for evaluating creativity
Patterson J, Barbot B, Lloyd-Cox J, Beaty R. AuDrA: An automated drawing assessment platform for evaluating creativity. Behavior Research Methods 2023, 56: 3619-3636. PMID: 37919616, PMCID: PMC11133150, DOI: 10.3758/s13428-023-02258-3.Peer-Reviewed Original ResearchTutorial: using NEURON for neuromechanical simulations
Fietkiewicz C, McDougal R, Marco D, Chiel H, Thomas P. Tutorial: using NEURON for neuromechanical simulations. Frontiers In Computational Neuroscience 2023, 17: 1143323. PMID: 37583894, PMCID: PMC10424731, DOI: 10.3389/fncom.2023.1143323.Peer-Reviewed Original ResearchUse of pointersCode modularityCode reuseSeparate specificationComplex adaptive behaviorSimulation platformDifferent computational modelsComplicated syntaxClosed-loop modelSimulation toolNeuromechanical modelingNeuron simulationsLevel of complexityComputational modelNeuromechanical simulationsTutorialPointersNon-smooth dynamicsPedagogical modelNeural dynamicsProgramming optionsBody dynamicsModelingAdaptive behaviorFirst step
2022
MedTator: a serverless annotation tool for corpus development
He H, Fu S, Wang L, Liu S, Wen A, Liu H. MedTator: a serverless annotation tool for corpus development. Bioinformatics 2022, 38: 1776-1778. PMID: 34983060, PMCID: PMC10060696, DOI: 10.1093/bioinformatics/btab880.Peer-Reviewed Original ResearchConceptsAnnotation toolInteractive user interfaceApache 2.0 licenseDocument annotationUser interfaceAnnotation taskSource codeAdvanced featuresDifficulty of useAnnotation corpusCorpus developmentCorpus annotationCore stepsSupplementary dataVariety of needsAnnotationClinical research applicationsSummarizationResearch applicationsToolConsiderable timeTaskBioinformaticsTutorialCode
2021
Supervised machine learning in the mass spectrometry laboratory: A tutorial
Lee ES, Durant TJS. Supervised machine learning in the mass spectrometry laboratory: A tutorial. Journal Of Mass Spectrometry And Advances In The Clinical Lab 2021, 23: 1-6. PMID: 34984411, PMCID: PMC8692990, DOI: 10.1016/j.jmsacl.2021.12.001.Peer-Reviewed Educational MaterialsCapabilities of MLMachine learning methodsHigh-dimensional datasetsClassification problemSupervised machineSupervised MLComputer scienceDiscrete data elementsLearning methodsResult qualityData elementsML practicesDatasetSoftwareScientist communityInherent relationshipTutorialMass spectrometry dataPromising synergyMS datasetsData analysisMass spectrometry laboratoriesDistant natureRecent yearsWorkflow
2020
Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults
Speiser J, Callahan K, Fanning J, Gill T, Newman A, Pahor M, Rejeski J, Houston D. Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults. Innovation In Aging 2020, 4: 268-269. PMCID: PMC7740828, DOI: 10.1093/geroni/igaa057.859.Peer-Reviewed Original ResearchMachine learning methodsDecision treeLearning methodsRandom forestPrediction modelCommon machineComplex algorithmsRandom forest methodEvaluation metricsLarge datasetsForest methodMachineAlgorithmComputational algorithmPrediction modelingTutorial exampleClinical expertsImproved performanceTraditional modelsFlow chartTreesInterpretabilityDatasetRelevant characteristicsTutorialComparison of Smart Contract Blockchains for Healthcare Applications.
Yu H, Sun H, Wu D, Kuo T. Comparison of Smart Contract Blockchains for Healthcare Applications. AMIA Annual Symposium Proceedings 2020, 2019: 1266-1275. PMID: 32308924, PMCID: PMC7153130.Peer-Reviewed Original ResearchConceptsHealthcare applicationsSmart contract blockchainHyperledger FabricBlockchain networkHealthcare blockchainHealthcare domainSmart contractsBlockchain technologyBlockchainFeatures of platformsPlatformHyperledgerEthereumImplementationTechnologyApplicationsNetworkHealthcareTutorialPragmatic comparison
2011
Natural language processing: an introduction
Nadkarni PM, Ohno-Machado L, Chapman WW. Natural language processing: an introduction. Journal Of The American Medical Informatics Association 2011, 18: 544-551. PMID: 21846786, PMCID: PMC3168328, DOI: 10.1136/amiajnl-2011-000464.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
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