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Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data., , , , , and . CoRR, (2022)A personalized decision aid for prostate cancer shared decision making., , , , , , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 374 (2021)Extremum Seeking for Creating Optimal Feedback Controls of Unknown Systems by Tuning Basis Functions., and . ACC, page 44-49. IEEE, (2020)Detecting Inaccurate Predictions of Pediatric Surgical Durations., , , , , and . DSAA, page 452-457. IEEE, (2016)The design and evaluation of a novel algorithm for automated preference card optimization., , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (6): 1088-1097 (2021)Improving predictions of pediatric surgical durations with supervised learning., , , , , and . Int. J. Data Sci. Anal., 4 (1): 35-52 (2017)The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling., , , , , and . CoRR, (2022)Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population., , , , , , , , and . npj Digit. Medicine, (2020)Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders., , , , and . HealthCom, page 1-6. IEEE, (2018)Bounded extremum seeking with discontinuous dithers., and . Autom., (2016)