2024
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data
He X, Wei R, Huang Y, Chen Z, Lyu T, Bost S, Tong J, Li L, Zhou Y, Li Z, Guo J, Tang H, Wang F, DeKosky S, Xu H, Chen Y, Zhang R, Xu J, Guo Y, Wu Y, Bian J. Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data. Alzheimer's & Dementia Diagnosis Assessment & Disease Monitoring 2024, 16: e12613. PMID: 38966622, PMCID: PMC11220631, DOI: 10.1002/dad2.12613.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsComputable phenotypeHealth record dataManual chart reviewHealth recordsAlzheimer's diseaseDiagnosis codesRecord dataChart reviewUTHealthAlzheimer's disease patientsUniversity of MinnesotaAD diagnosisAD identificationDisease patientsPatientsAlzheimerAD patientsDemographicsDiagnosisDiseaseCodeDataUniversity
2023
Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature
Xiao Y, Hou Y, Zhou H, Diallo G, Fiszman M, Wolfson J, Kilicoglu H, Chen Y, Xu H, Mantyh W, Zhang R. Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature. 2023, 00: 750-752. DOI: 10.1109/ichi57859.2023.00137.Peer-Reviewed Original ResearchAlzheimer's diseaseKnowledge graphKnowledge graph embedding modelsGraph convolutional network modelComputational drug repurposingGraph embedding modelsTest setConvolutional network modelBiomedical knowledge graphComprehensive knowledge graphDietary supplementsR-GCNEmbedding modelDrug repurposingLink predictionPrediction taskSemantic triplesNetwork modelAlzheimerBiomedical literatureNovel drugsRepurposed drugsGraph