2023
Prediction of Brain Metastases Development in Patients With Lung Cancer by Explainable Artificial Intelligence From Electronic Health Records.
Li Z, Li R, Zhou Y, Rasmy L, Zhi D, Zhu P, Dono A, Jiang X, Xu H, Esquenazi Y, Zheng W. Prediction of Brain Metastases Development in Patients With Lung Cancer by Explainable Artificial Intelligence From Electronic Health Records. JCO Clinical Cancer Informatics 2023, 7: e2200141. PMID: 37018650, PMCID: PMC10281421, DOI: 10.1200/cci.22.00141.Peer-Reviewed Original ResearchConceptsBrain metastasesExplainable artificial intelligenceFeature attribution methodsLung cancerEHR dataArtificial intelligenceCerner Health Facts databaseBM developmentExplainable artificial intelligence approachBrain metastasis developmentHealth Facts databaseElectronic health record dataRecurrent neural network modelArtificial intelligence approachHealth record dataModel decision processStructured EHR dataNeural network modelDecision processAttribution methodsHigh-quality cohortElectronic health recordsPrompt treatmentMetastasis developmentIntelligence approach
2022
Factors Associated With COVID-19 Death in the United States: Cohort Study
Chen U, Xu H, Krause T, Greenberg R, Dong X, Jiang X. Factors Associated With COVID-19 Death in the United States: Cohort Study. JMIR Public Health And Surveillance 2022, 8: e29343. PMID: 35377319, PMCID: PMC9132142, DOI: 10.2196/29343.Peer-Reviewed Original ResearchConceptsCOVID-19-related deathsCohort studyPatient characteristicsElectronic health record data setsLarge national cohort studyNational cohort studyChronic respiratory diseasesProportional hazards modelCOVID-19COVID-19 deathsImmunosuppressive conditionsKidney functionMale sexLung cancerCOVID-19 casesRecent diagnosisRisk factorsRespiratory diseaseCardiac diseaseOrgan transplantsHigh incidenceHazards modelNeurological diseasesOlder ageDisease
2020
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives
Yang X, Yang H, Lyu T, Yang S, Guo Y, Bian J, Xu H, Wu Y. A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. 2020 IEEE International Conference On Healthcare Informatics (ICHI) 2020, 00: 1-2. PMID: 33786419, PMCID: PMC8006894, DOI: 10.1109/ichi48887.2020.9374369.Peer-Reviewed Original Research