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
2018
Exploring Temporal Patterns of Suicidal Behavior on Twitter
Luo J, Du J, Tao C, Xu H, Zhang Y. Exploring Temporal Patterns of Suicidal Behavior on Twitter. 2018, 55-56. DOI: 10.1109/ichi-w.2018.00017.Peer-Reviewed Original Research
2013
ICD-9 tobacco use codes are effective identifiers of smoking status
Wiley L, Shah A, Xu H, Bush W. ICD-9 tobacco use codes are effective identifiers of smoking status. Journal Of The American Medical Informatics Association 2013, 20: 652-658. PMID: 23396545, PMCID: PMC3721171, DOI: 10.1136/amiajnl-2012-001557.Peer-Reviewed Original ResearchConceptsSmoking statusClinic populationGeneral clinic populationClinical populationsSmoking cessation attemptCancer-free controlsElectronic health recordsFull-text recordsCancer casesCessation attemptsTobacco useInternational ClassificationSmokersHealth recordsGenetic association studiesGenetic association analysisStatusPopulationLittle evidenceBiorepositoryInitial success