Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based
Reinforcement Learning

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

15 January 2019

Matthieu Komorowski

Li-wei H. Lehman

Finale Doshi-Velez

Papers citing "Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning"

10 / 10 papers shown

Title
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 38 5 0 04 Jul 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 40 83 0 31 Jan 2023
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients Thesath Nanayakkara OOD OffRL 24 0 0 17 Jul 2022
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes Changchang Yin Ruoqi Liu Jeffrey Caterino Ping Zhang OffRL 45 5 0 19 May 2022
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 36 37 0 08 Oct 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 22 21 0 05 Aug 2021
Offline reinforcement learning with uncertainty for treatment strategies in sepsis Ran Liu J. Greenstein J. Fackler Jules Bergmann M. Bembea R. Winslow OffRL 14 7 0 09 Jul 2021
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 22 15 0 20 Jul 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control Supriyo Ghosh Sean Laguna Shiau Hong Lim L. Wynter Hasan A. Poonawala 35 14 0 03 Apr 2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning Joseph D. Futoma M. C. Hughes Finale Doshi-Velez OffRL 21 49 0 13 Jan 2020