2024
Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data
Lu Y, Tong J, Chubak J, Lumley T, Hubbard R, Xu H, Chen Y. Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data. Journal Of Biomedical Informatics 2024, 157: 104690. PMID: 39004110, DOI: 10.1016/j.jbi.2024.104690.Peer-Reviewed Original ResearchElectronic health recordsElectronic health record dataKaiser Permanente WashingtonEHR-derived phenotypesAssociation studiesHealth recordsColon cancer recurrencePhenotyping errorsComputable phenotypeRisk factorsCancer recurrenceMultiple phenotypesReduce biasImprove estimation accuracySimulation studyBias reductionKaiserReduction of biasBiasEstimation accuracyAssociationStudyOutcomesRiskEstimation efficiency
2018
Psychiatric stressor recognition from clinical notes to reveal association with suicide
Zhang Y, Zhang O, Li R, Flores A, Selek S, Zhang X, Xu H. Psychiatric stressor recognition from clinical notes to reveal association with suicide. Health Informatics Journal 2018, 25: 1846-1862. PMID: 30328378, DOI: 10.1177/1460458218796598.Peer-Reviewed Original ResearchConceptsElectronic health recordsSuicidal behaviorHealth recordsSuicide ideation/attemptsTremendous economic burdenPsychiatric stressorsSuicide risk factorsRisk factorsEconomic burdenPsychiatric stressClinical notesLarge-scale studiesPsychiatric notesSuicideAssociationSignificant stressorsStressorsPrior studiesPercentPrevious studiesStudy
2017
A Pilot Study of Mining Association Between Psychiatric Stressors and Symptoms in Tweets
Du J, Zhang Y, Tao C, Xu H. A Pilot Study of Mining Association Between Psychiatric Stressors and Symptoms in Tweets. 2017, 1254-1257. DOI: 10.1109/bibm.2017.8217838.Peer-Reviewed Original ResearchA systematic analysis of FDA-approved anticancer drugs
Sun J, Wei Q, Zhou Y, Wang J, Liu Q, Xu H. A systematic analysis of FDA-approved anticancer drugs. BMC Systems Biology 2017, 11: 87. PMID: 28984210, PMCID: PMC5629554, DOI: 10.1186/s12918-017-0464-7.Peer-Reviewed Original ResearchConceptsDrug-cancer associationsAnticancer drugsTarget-based drugsEfficient anticancer drugsTarget-based approachCancer typesNew anticancer drugsNovel anticancer drugsClinical trial studyPharmaceutical researchTrial studyMore cancer typesUS FoodDrug AdministrationCytotoxic drugsPatient treatmentPotential candidateDrug mechanismsDrugsDrug repurposingSystematic investigationAssociationDrug targetsTyrosine kinaseSystematic discovery