2024
Early 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 KeywordsAdultAgedDatabases, FactualFemaleHumansIntensive Care UnitsLength of StayMachine LearningMaleMiddle AgedPatient ReadmissionConceptsIntensive 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 patients
2021
Predictive Analytics for Glaucoma Using Data From the All of Us Research Program
Baxter S, Saseendrakumar B, Paul P, Kim J, Bonomi L, Kuo T, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Mayo K, Mockrin S, Schully S, Ramirez A, Ohno-Machado L, Investigators A. Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal Of Ophthalmology 2021, 227: 74-86. PMID: 33497675, PMCID: PMC8184631, DOI: 10.1016/j.ajo.2021.01.008.Peer-Reviewed Original ResearchConceptsGlaucoma surgeryPrimary open-angle glaucomaOphthalmic researchSingle-center cohortElectronic health record dataMultivariable logistic regressionSingle-center dataOpen-angle glaucomaHealth record dataMean ageClaims dataUs Research ProgramLogistic regressionSurgeryRecord dataOphthalmic imagingCharacteristic curveExternal validationGlaucomaCohortAUCSingle-center model
2020
EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning
Kuo T, Gabriel R, Cidambi K, Ohno-Machado L. EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. Journal Of The American Medical Informatics Association 2020, 27: 747-756. PMID: 32364235, PMCID: PMC7309256, DOI: 10.1093/jamia/ocaa023.Peer-Reviewed Original ResearchConceptsBlockchain technologyCentral serverServer-based methodBenefits of blockchainData protection policiesCentralized serverArtificial intelligenceModel learningDecentralized approachSmall datasetsBlockchainServerComputation strategySingle pointGeneralizable modelCost of efficiencyGenomic datasetsDatasetDistributed modelTechnologyGenomic dataMultiple institutionsDiscrimination powerIntelligencePotential advantages/disadvantages
2019
Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records
Baxter S, Marks C, Kuo T, Ohno-Machado L, Weinreb R. Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records. American Journal Of Ophthalmology 2019, 208: 30-40. PMID: 31323204, PMCID: PMC6888922, DOI: 10.1016/j.ajo.2019.07.005.Peer-Reviewed Original ResearchConceptsPrimary open-angle glaucomaElectronic health recordsMultivariable logistic regressionSurgical interventionGlaucoma surgeryPOAG patientsSystemic dataHigher mean systolic blood pressureMean systolic blood pressureNon-opioid analgesic medicationsLogistic regressionCertain medication classesEye-specific dataHealth recordsRisk of progressionSystolic blood pressureOpen-angle glaucomaSingle academic institutionAnti-hyperlipidemic medicationsAnalgesic medicationMedication classesProgressive diseaseBlood pressureCalcium blockersOphthalmic medicationsFair compute loads enabled by blockchain: sharing models by alternating client and server roles
Kuo T, Gabriel R, Ohno-Machado L. Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. Journal Of The American Medical Informatics Association 2019, 26: 392-403. PMID: 30892656, PMCID: PMC7787356, DOI: 10.1093/jamia/ocy180.Peer-Reviewed Original Research
2018
Identifying and characterizing highly similar notes in big clinical note datasets
Gabriel R, Kuo T, McAuley J, Hsu C. Identifying and characterizing highly similar notes in big clinical note datasets. Journal Of Biomedical Informatics 2018, 82: 63-69. PMID: 29679685, DOI: 10.1016/j.jbi.2018.04.009.Peer-Reviewed Original ResearchConceptsClinical note datasetsDe-duplication algorithmMIMIC-III datasetElectronic health recordsJaccard similarityDe-duplicationLocality sensitive hashingMIMIC-IIINear-duplicatesScalable algorithmMeasure similarityAccurate statistical modelsSources of duplicationClustering methodDatasetAlgorithmApproximation algorithmHealth recordsDisjoint setsInstitutional datasetComparison of notesPairs of notesHashPairwise comparisonsPairwise