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SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification., , , , , , , , , and 1 other author(s). PRIME@MICCAI, volume 14277 of Lecture Notes in Computer Science, page 46-57. Springer, (2023)Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank., , , , , , , , , and 7 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1178-1187 (2021)An integrative method for scoring candidate genes from association studies: application to warfarin dosing., , , , and . BMC Bioinform., 11 (S-9): S9 (2010)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , and 1 other author(s). CoRR, (2019)Doubly Weak Supervision of Deep Learning Models for Head CT., , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 811-819. Springer, (2019)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , and 1 other author(s). Patterns, 1 (2): 100019 (2020)The utility of general purpose versus specialty clinical databases for research: Warfarin dose estimation from extracted clinical variables., and . J. Biomed. Informatics, 43 (5): 747-751 (2010)A General Framework for Dose Optimization., , , , and . AMIA, AMIA, (2009)Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes., , , , , , , , , and 1 other author(s). CoRR, (2022)Automatic inference of BI-RADS final assessment categories from narrative mammography report findings., , , , , and . J. Biomed. Informatics, (2019)