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
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
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