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Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records., , , , and . AI Magazine, 33 (4): 33-45 (2012)Knowledge Driven Binning and PheWAS Analysis in Marshfield Personalized Medicine Research Project Using BioBin., , , , , and . PSB, page 249-260. (2016)Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network., , , , , , , , , and 1 other author(s). BioData Min., (2016)Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies., , , , , and . UAI, page 511-522. AUAI Press, (2012)High-Dimensional Structured Feature Screening Using Binary Markov Random Fields., , , , , and . AISTATS, volume 22 of JMLR Proceedings, page 712-721. JMLR.org, (2012)Effect of Sociodemographic Factors on Uptake of a Patient-Facing Information Technology Family Health History Risk Assessment Platform., , , , , , , , , and 5 other author(s). Appl. Clin. Inform., 10 (02): 180-188 (2019)Development of reusable logic for determination of statin exposure-time from electronic health records., , , , and . J. Biomed. Informatics, (2014)Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms., , , , , , , and . AMIA, AMIA, (2013)Development of an optical character recognition pipeline for handwritten form fields from an electronic health record., , , and . JAMIA, (2012)Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records., , , , and . IAAI, page 2341-2347. AAAI, (2012)