Featured Publications
Detecting model misconducts in decentralized healthcare federated learning
Kuo T, Pham A. Detecting model misconducts in decentralized healthcare federated learning. International Journal Of Medical Informatics 2021, 158: 104658. PMID: 34923447, PMCID: PMC10017272, DOI: 10.1016/j.ijmedinf.2021.104658.Peer-Reviewed Original ResearchFederated learningFederated machine learningDetection methodDetection frameworkLearning iterationsMalicious intentLearning methodsMachine learningArtificial intelligenceParameter tuningComputational costCross-institutional collaborationLearningLearning processIterationPerformance detectorsDetectionIncorrect modelFrameworkAlgorithmDatasetDetect misconductIntelligencePlagiarismMethod
2024
WebQuorumChain: A web framework for quorum-based health care model learning
Shao X, Pham A, Kuo T. WebQuorumChain: A web framework for quorum-based health care model learning. Informatics In Medicine Unlocked 2024, 50: 101590. PMID: 39483487, PMCID: PMC11526443, DOI: 10.1016/j.imu.2024.101590.Peer-Reviewed Original ResearchExecution timeBack-endDecentralized federated learningDecentralized machine learningFederated learning networkFront-endAverage execution timeBack-end layerBack-end functionsWeb-based systemData-driven discoveryFederated learningPrivacy-preservingData privacyPrivacy concernsRuntime efficiencyCollaborative machinesWeb frameworkModel learningSecurity promisesSystem overheadsLow-level processingLearning networkMachine learningVisualization tools
2020
The anatomy of a distributed predictive modeling framework: online learning, blockchain network, and consensus algorithm
Kuo T. The anatomy of a distributed predictive modeling framework: online learning, blockchain network, and consensus algorithm. JAMIA Open 2020, 3: 201-208. PMID: 32734160, PMCID: PMC7382618, DOI: 10.1093/jamiaopen/ooaa017.Peer-Reviewed Original ResearchBlockchain-based approachOnline machine learningSoftware development perspectiveProtect patient dataPrivacy technologiesBlockchain networkProgramming languageBlockchain technologyAlgorithmic objectivityImplementation detailsNon-determinismMachine learningSystem architectureBlockchainPatient dataDevelopment configurationAlgorithmTechnical componentsOnline learningSoftwareLearningTechnologyDesign detailsImplementationPrediction model
2016
Weakly supervised learning of biomedical information extraction from curated data
Jain S, R. K, Kuo T, Bhargava S, Lin G, Hsu C. Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinformatics 2016, 17: s1. PMID: 26817711, PMCID: PMC4847485, DOI: 10.1186/s12859-015-0844-1.Peer-Reviewed Original ResearchConceptsTraining examplesInformation extractionGenome-wide association studiesCommittee of weak classifiersCurated dataInformation extraction tasksBiomedical information extractionWeakly supervised learningCost-sensitive learningBiomedical text miningSupervised machine learningNoisy labelsWeak classifiersExtraction taskInformation extractorExpert annotationsBig dataMachine learningText miningBaseline counterpartExperimental resultsAssociation studiesTarget phenotypeBiomedical databasesTask