2019
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics
Luo J, Du J, Tao C, Xu H, Zhang Y. Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics. Health Informatics Journal 2019, 26: 738-752. PMID: 30866708, DOI: 10.1177/1460458219832043.Peer-Reviewed Original ResearchConceptsRisk factorsDifferent risk factorsPotential suicidal ideationPublic health servicesKey risk factorsSuicide-related tweetsPrevention strategiesHealth servicesSuicidal ideationSuicide behaviorSuicide detectionSuicide ratesDifferent daysWider populationTemporal patternsBehavior patternsPopulationFactorsWeeks
2015
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2
Stubbs A, Kotfila C, Xu H, Uzuner Ö. Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. Journal Of Biomedical Informatics 2015, 58: s67-s77. PMID: 26210362, PMCID: PMC4978189, DOI: 10.1016/j.jbi.2015.07.001.Peer-Reviewed Original ResearchMeSH KeywordsAgedBostonCohort StudiesComorbidityComputer SecurityConfidentialityCoronary Artery DiseaseData MiningDiabetes ComplicationsElectronic Health RecordsFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedNarrationNatural Language ProcessingPattern Recognition, AutomatedRisk AssessmentVocabulary, ControlledConceptsCoronary artery diseaseRisk factorsLongitudinal medical recordsMedical recordsMedical risk factorsArtery diseaseDiabetic patientsSmoking statusHeart diseaseFamily historyI2b2/UTHealth natural language processingDiseaseI2b2/UTHealthProgressionUTHealthHypertensionHyperlipidemiaFactorsObesityDiabetesPatients