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Learning Models from Data with Measurement Error: Tackling Underreporting.

, , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 61-70. PMLR, (2019)

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A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery.. IEEE Intelligent Systems, 29 (4): 82-87 (2014)A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure., and . NIPS, page 748-756. (2015)Advanced Machine Learning for Healthcare., , , , and . CRI, AMIA, (2016)Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls., , and . AMIA, AMIA, (2013)Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons., and . AMIA, AMIA, (2015)High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection., , , , , , and . CoRR, (2016)Learning Models from Data with Measurement Error: Tackling Underreporting., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 61-70. PMLR, (2019)Learning (predictive) risk scores in the presence of censoring due to interventions., and . Mach. Learn., 102 (3): 323-348 (2016)I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models., and . CoRR, (2020)The digital patient: machine learning techniques for analyzing electronic health record data.. Stanford University, USA, (2011)