2024
Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records
Li Z, Lan L, Zhou Y, Li R, Chavin K, Xu H, Li L, Shih D, Zheng W. Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records. Journal Of Biomedical Informatics 2024, 152: 104626. PMID: 38521180, DOI: 10.1016/j.jbi.2024.104626.Peer-Reviewed Original ResearchDeep learning modelsElectronic health recordsHCC risk predictionHealth recordsTime-varying covariatesLearning modelsElectronic health record dataRisk predictionHealth record dataAccuracy of deep learning modelsDeep learning-based strategyCovariate imbalanceDisease prediction tasksLearning-based strategyDeep learning performanceDisease risk predictionEHR databaseClassification problemLength of follow-upTransfer learningFatty liver diseasePrediction taskCarcinoma riskModel trainingRecord data
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