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Using Electronic Health Records Data for Comparative Effectiveness Research., , and . AMIA, AMIA, (2017)Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers., , and . J. Mach. Learn. Res., (2008)On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting., , and . J. Mach. Learn. Res., (2016)Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records., , , , , , , , , and 8 other author(s). AMIA, AMIA, (2015)Improving EHR Chart Review Efficiency via Semantic Similarity Assessment., , , , , , , , , and . AMIA, AMIA, (2017)The performance of risk prediction models., , and . Biometrical journal. Biometrische Zeitschrift, 50 (4): 457-79 (August 2008)Models predictius.Surrogate-assisted feature extraction for high-throughput phenotyping., , , , , , , , , and 1 other author(s). JAMIA, 24 (e1): e143-e149 (2017)Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data, , , , , , , , and . (2018)cite arxiv:1804.01486.sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record., , , , , , , , and . AMIA, AMIA, (2019)Clinical Concept Embeddings Learned from Massive Sources of Medical Data., , , , , , and . CoRR, (2018)