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Embracing Disease Progression with a Learning System for Real World Evidence Discovery.

, , , , , , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 524-534. Springer, (2020)

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Personalized Input-Output Hidden Markov Models for Disease Progression Modeling., , , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 309-330. PMLR, (2020)Modeling Disease Progression Trajectories from Longitudinal Observational Data., , , , , , , , , and . CoRR, (2020)DPVis: Visual Exploration of Disease Progression Pathways., , , , , , , and . CoRR, (2019)Phonetic training and language modeling for word spotting., , , , , and . ICASSP (2), page 459-462. IEEE Computer Society, (1993)Embracing Disease Progression with a Learning System for Real World Evidence Discovery., , , , , , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 524-534. Springer, (2020)Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes., , , , , , and . AMIA, AMIA, (2020)Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology., , , , , , , and . AMIA, AMIA, (2020)Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups., , , , , , and . AMIA, AMIA, (2021)Post-hoc loss-calibration for Bayesian neural networks., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1403-1412. AUAI Press, (2021)RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups., , , , , , , , , and . IEEE VIS (Short Papers), page 50-54. IEEE, (2022)