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Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning., , , , , , , , and . CoRR, (2023)Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions., , , , , , , , , and 5 other author(s). AIME, volume 12299 of Lecture Notes in Computer Science, page 14-25. Springer, (2020)Artificial Intelligence in Cardiology, , , , , , , and . Journal of the American College of Cardiology, 71 (23): 2668 - 2679 (2018)Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables., , , , and . PSB, page 415-426. (2019)Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula., , , , and . PSB, page 180-191. (2018)Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort., , , , , , , , , and 7 other author(s). PSB, page 276-287. (2017)Automated disease cohort selection using word embeddings from Electronic Health Records., , , , , , and . PSB, page 145-156. (2018)