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Temporal Poisson Square Root Graphical Models.

, , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1700-1709. PMLR, (2018)

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Benefits of Accurate Imputations in GWAS., , , , , , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 877-889. Springer, (2014)A multi-institution evaluation of clinical profile anonymization., , , , , , and . JAMIA, 23 (e1): e131-e137 (2016)Breast Cancer Risk Prediction Using Electronic Health Records., , , , , , , , , and . ICHI, page 224-228. IEEE Computer Society, (2017)An Evaluation of the NQF Quality Data Model for Representing Electronic Health Record Driven Phenotyping Algorithms., , , , , , , and . AMIA, AMIA, (2012)Development and validation of an electronic phenotyping algorithm for chronic kidney disease., , , , , , , , , and 3 other author(s). AMIA, AMIA, (2014)Study of Effect of Drug Lexicons on Medication Extraction from Electronic Medical Records., and . Pacific Symposium on Biocomputing, World Scientific, (2005)Identifying Adverse Drug Events by Relational Learning., , , , , and . AAAI, page 1599-1605. AAAI Press, (2012)Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records., , , , and . IAAI, page 2341-2347. AAAI, (2012)Temporal Poisson Square Root Graphical Models., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1700-1709. PMLR, (2018)Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network., , , , , and . J. Am. Medical Informatics Assoc., 26 (2): 143-148 (2019)