Tsung-Ting Kuo, PhD
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Research
Professional Highlights
About
Contact/Administration
Research
Professional Highlights
About
Contact/Administration
Contact Info
Publications Overview
- 68 Publications
- 2,476 Citations
- 4 Yale Co-Authors
Featured Publication
Detecting model misconducts in decentralized healthcare federated learning
Honors
- 10 Regional Awards
- 8 National Awards
- 7 International Awards
Education
PhD
National Taiwan University, Institute of Networking and Multimedia (2014)
National Taiwan University, Institute of Networking and Multimedia (2014)
MS
National Chao Tung University, Computer and Information Science (2003)
National Chao Tung University, Computer and Information Science (2003)
Training
Postdoctoral Scholar
University of California San Diego (2019)
University of California San Diego (2019)
Contact Info
Publications Overview
- 68 Publications
- 2,476 Citations
- 4 Yale Co-Authors
Featured Publication
Detecting model misconducts in decentralized healthcare federated learning
Honors
- 10 Regional Awards
- 8 National Awards
- 7 International Awards
Education
PhD
National Taiwan University, Institute of Networking and Multimedia (2014)
National Taiwan University, Institute of Networking and Multimedia (2014)
MS
National Chao Tung University, Computer and Information Science (2003)
National Chao Tung University, Computer and Information Science (2003)
Training
Postdoctoral Scholar
University of California San Diego (2019)
University of California San Diego (2019)
Contact Info
About
Faculty of Biomedical Informatics & Data Science and of Surgery
Titles
Associate Professor on Term of Biomedical Informatics and Data Science
Biography
Kuo is a faculty member of biomedical informatics and data science and of surgery at Yale School of Medicine. He earned his PhD from National Taiwan University (NTU) in the Institute of Networking and Multimedia.
Kuo was previously assistant professor of medicine at University of California San Diego (UCSD) Health's Department of Biomedical Informatics (DBMI). Prior to becoming a faculty member, he was a Postdoctoral Scholar at UCSD DBMI and received the UCSD Chancellor’s Outstanding Postdoctoral Scholar Award. He was a major contributor towards the UCSD DBMI team winning the Office of the National Coordinator for Health Information Technology (ONC) healthcare blockchain challenge, and also the NTU team winning the Association for Computing Machinery (ACM) Knowledge Discovery and Data Mining (KDD) Cup competition four times.
Kuo was awarded a NIH R01 Research Project Grant, a K99/R00 Pathway to Independence Award with an Administrative Supplement, a R13 Support for Conferences and Scientific Meetings Grant, as well as UCSD Academic Senate Health Science Research Grants, for blockchain-based and predictive biomedical, healthcare and genomic studies. His research focuses on blockchain-based predictive modeling, blockchain technologies, and machine learning.
Appointments
Biomedical Informatics & Data Science
Associate Professor on TermPrimary
Other Departments & Organizations
- Biomedical Informatics & Data Science
Education & Training
- Postdoctoral Scholar
- University of California San Diego (2019)
- PhD
- National Taiwan University, Institute of Networking and Multimedia (2014)
- MS
- National Chao Tung University, Computer and Information Science (2003)
- BS
- National Cheng Kung University, Computer Science and Information Engineering (2001)
Research
Overview
Our research focused on biomedical blockchain that can advance research by data sharing. Currently, state-of-the-art data sharing and analysis frameworks across multiple healthcare systems are mostly still centralized. This centralization carries several risks at the central server, such as single-point-of-failure and data mutability. To improve the security and robustness of data sharing/analysis frameworks, we focus on designing and implementing advanced methods on decentralized blockchain networks. Blockchain is a distributed ledger/database technology adopted by Bitcoin and other cryptocurrencies. We aim at developing novel approaches that can enhance the security and robustness of data sharing/analysis from multiple medical institutions through a distributed system.
Medical Research Interests
Artificial Intelligence; Blockchain; Genetic Privacy; Natural Language Processing; Privacy
ORCID
0000-0002-8728-4477
Research at a Glance
Publications Timeline
A big-picture view of Tsung-Ting Kuo's research output by year.
Research Interests
Research topics Tsung-Ting Kuo is interested in exploring.
Yale Co-Authors
Frequent collaborators of Tsung-Ting Kuo's published research.
68Publications
2,476Citations
Blockchain
Privacy
Natural Language Processing
Lucila Ohno-Machado, MD, MBA, PhD
Jihoon Kim, PhD
Hua Xu, PhD
Daniella Meeker, PhD
Publications
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 ResearchCitationsConceptsFederated learningFederated machine learningDetection methodDetection frameworkLearning iterationsMalicious intentLearning methodsMachine learningArtificial intelligenceParameter tuningComputational costCross-institutional collaborationLearningLearning processIterationPerformance detectorsDetectionIncorrect modelFrameworkAlgorithmDatasetDetect misconductIntelligencePlagiarismMethod
2024
Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history
ham A, El-Kareh R, Myers F, Ohno-Machado L, Kuo T-T. Predicting positive clostridioides difficile test results using large-scale longitudinal data of demographics and medication history. Heliyon. 2025;11(1). DOI: 10.1016/j.heliyon.2024.e41350.Peer-Reviewed Original ResearchDistributed, immutable, and transparent biomedical limited data set request management on multi-capacity network
Yu Y, Edelson M, Pham A, Pekar J, Johnson B, Post K, Kuo T. Distributed, immutable, and transparent biomedical limited data set request management on multi-capacity network. Journal Of The American Medical Informatics Association 2024, ocae288. PMID: 39569448, DOI: 10.1093/jamia/ocae288.Peer-Reviewed Original ResearchAltmetricConceptsBlockchain-based systemSmart contractsMedical data managementData access processReal-world scenariosData access historyRuntime metricsAccess transparencyAudit logMetadata InitiativeNetwork speedPerformance gainsSharing requestsAccess historyRequest managementHardware specificationsComputing capacityAverage runtimeData managementSharing processSynthetic dataRequest timeQueryAudit trailData linksWebQuorumChain: 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 ResearchConceptsExecution 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 toolsSecure Federated Learning Integrated Statistical Modeling for Healthcare Data
Jiang X, Kim J, Kuo T, Ohno-Machado L. Secure Federated Learning Integrated Statistical Modeling for Healthcare Data. 2024, 313-324. DOI: 10.1201/9781003185284-24.Peer-Reviewed Original ResearchDistributed management of patient data-sharing informed consents for clinical research
Pham A, Edelson M, Nouri A, Kuo T. Distributed management of patient data-sharing informed consents for clinical research. Computers In Biology And Medicine 2024, 180: 108956. PMID: 39121682, PMCID: PMC11380755, DOI: 10.1016/j.compbiomed.2024.108956.Peer-Reviewed Original ResearchConceptsBenefits of immutabilityBlockchain-based infrastructureMulti-site scenarioResearch Data AccessNode parallelismOn-chainNetwork nodesData accessAudit trailPatient privacyDistribution managementConsent mechanismsData categoriesNodesEfficient wayNetworkAutomated channelAccuracyQueryPrivacyImmutabilityOrchestrationConsent protocolDataExhaustive listBiomedical blockchain with practical implementations and quantitative evaluations: a systematic review
Lacson R, Yu Y, Kuo T, Ohno-Machado L. Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. Journal Of The American Medical Informatics Association 2024, 31: 1423-1435. PMID: 38726710, PMCID: PMC11105130, DOI: 10.1093/jamia/ocae084.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsElectronic health recordsSystematic reviewData sharingMedical data sharingSpeed metricsPreferred Reporting ItemsCertificate storageDecentralized InternetNetwork permissionsBlockchain platformBlockchain applicationsEvaluation metricsBiomedical domainBlockchainBiomedical data managementHealth recordsData managementData storageReporting ItemsHealth sectorQuantitative metricsMedical facilitiesMetricsTrial managementClinical trial managementEarly prediction of long hospital stay for Intensive Care units readmission patients using medication information
Zhang M, Kuo T. Early prediction of long hospital stay for Intensive Care units readmission patients using medication information. Computers In Biology And Medicine 2024, 174: 108451. PMID: 38603899, PMCID: PMC11385457, DOI: 10.1016/j.compbiomed.2024.108451.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsIntensive care unitProlonged ICU LOSAverage doseICU LOSLonger hospital stayReceiver operating characteristic curveLogistic regressionPredicting intensive care unitMedical informationExpected Calibration ErrorSummed dosePatient ageHospital staySupport vector machineCare unitMIMIC-IV databasePatient complicationsCharacteristic curveMedicationRandom forestDosePatient recordsAdmissionReadmission patientsSecure Federated Learning Integrated Statistical Modeling for Healthcare Data
Xiaoqian Jiang, Jihoon Kim, Tsung-Ting Kuo, Lucila Ohno-Machado, “Secure Federated Learning Integrated Statistical Modeling for Healthcare Data.” Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data, 2024.Chapters
2023
Editorial: Blockchain and distributed ledger technology—enabled architectures for improving healthcare
Kuo T, Zhang P. Editorial: Blockchain and distributed ledger technology—enabled architectures for improving healthcare. Frontiers In Blockchain 2023, 6: 1275474. DOI: 10.3389/fbloc.2023.1275474.Commentaries, Editorials and LettersAltmetric
Academic Achievements & Community Involvement
honor Excellent Editorial Board Member Award
National AwardJAMIADetails01/01/2024United Stateshonor Academic Senate Health Science Travel Award
Regional AwardUniversity of California San DiegoDetails01/01/2023United Stateshonor Academic Senate Health Science Travel Award
Regional AwardUniversity of California San DiegoDetails01/01/2021United Stateshonor Faculty of the Year
Regional AwardUniversity of California San Diego Biomedical InformaticsDetails01/01/2020United Stateshonor Academic Senate Health Science Travel Award
Regional AwardUniversity of California San DiegoDetails01/01/2019United States