2023
Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models
Li Z, Ameer I, Hu Y, Abdelhameed A, Tao C, Selek S, Xu H. Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models. 2023, 00: 481-483. DOI: 10.1109/ichi57859.2023.00074.Peer-Reviewed Original ResearchWeighted F1 scoreF1 scoreMachine learning modelsElectronic health recordsLearning modelsState-of-the-art modelsState-of-the-artBinary classification taskHealth recordsBinary classification modelStandard diagnosis codesClassification taskMulticlass classificationHealth informaticsClassification modelMental health informaticsTransformation modelPrediction algorithmPsychiatric notesInitial psychiatric evaluationSuicidal tendenciesMachineRandom forest modelSuicidal ideationPerformance
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