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Peter Szolovits
- > Home > Persons > Peter Szolovits
Publications
- 2022
- [i40]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - 2020
- [c58]Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS 2020 - [i32]Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR abs/2006.13189 (2020) - 2018
- [c44]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Racial Disparities and Mistrust in End-of-Life Care. MLHC 2018: 587-602 - [i18]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. CoRR abs/1807.00124 (2018) - [i13]Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng:
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR abs/1812.00699 (2018) - 2017
- [j31]Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez:
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J. Am. Medical Informatics Assoc. 24(3): 488-495 (2017) - [c38]Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC 2017: 147-163 - [c37]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC 2017: 322-337 - [i8]Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR abs/1705.08422 (2017) - [i7]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR abs/1705.08498 (2017) - [i6]Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi:
Deep Reinforcement Learning for Sepsis Treatment. CoRR abs/1711.09602 (2017) - 2016
- [c35]Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits:
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. AAAI 2016: 42-50
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