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Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams., , , , , и . Briefings Bioinform., 18 (1): 105-124 (2017)PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model., , , , , , , , , и 12 other автор(ы). Bioinform., 35 (21): 4515-4518 (2019)Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients., , , , , , , , , и 6 other автор(ы). CoRR, (2021)Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records., , , , и . CoRR, (2020)Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records., , , , , , , и . Patterns, 2 (9): 100337 (2021)A foundational vision transformer improves diagnostic performance for electrocardiograms., , , , , , , , , и 2 other автор(ы). npj Digit. Medicine, (2023)Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records., , , , , , , , , и 4 other автор(ы). AMIA, AMIA, (2021)Biological research and self-driving labs in deep space supported by artificial intelligence., , , , , , , , , и 46 other автор(ы). Nat. Mac. Intell., 5 (3): 208-219 (марта 2023)Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions., , , , , , , , , и 5 other автор(ы). AIME, том 12299 из Lecture Notes in Computer Science, стр. 14-25. Springer, (2020)Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables., , , , , , , , , и . CoRR, (2018)