Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

23 May 2017

Matthieu Komorowski

Papers citing "Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach"

36 / 36 papers shown

Title
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 38 5 0 04 Jul 2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 32 2 0 15 May 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control Xiuding Cai Jiao Chen Yaoyao Zhu Beiming Wang Yu Yao OffRL 41 5 0 17 Mar 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 21 1 0 21 Feb 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 38 3 0 19 Dec 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 30 2 0 29 Nov 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 40 13 0 11 Jun 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu Wang OffRL 44 23 0 02 Jun 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 30 5 0 04 Mar 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 25 17 0 20 Jan 2022
Optimal discharge of patients from intensive care via a data-driven policy learning framework F. Lejarza J. Calvert Misty M. Attwood D. Evans Q. Mao OffRL 36 4 0 17 Dec 2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Cheng Wu 34 9 0 06 Dec 2021
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 20 21 0 05 Aug 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang Jenna Wiens OffRL 26 78 0 23 Jul 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 35 0 19 Feb 2021
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning R. Awasthi K. K. Guliani Saif Ahmad Khan Aniket Vashishtha M. S. Gill Arshita Bhatt A. Nagori Aniket Gupta Ponnurangam Kumaraguru Tavpritesh Sethi 36 24 0 14 Sep 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Shengpu Tang Aditya Modi Michael Sjoding Jenna Wiens OffRL 14 25 0 24 Jul 2020
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin Yu Bai Yu Wang OffRL 44 31 0 07 Jul 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill OffRL 24 63 0 12 Mar 2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning Joseph D. Futoma M. C. Hughes Finale Doshi-Velez OffRL 21 49 0 13 Jan 2020
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning Joseph D. Futoma M. A. Masood Finale Doshi-Velez OffRL OOD 16 11 0 09 Jan 2020
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 36 19 0 19 Sep 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret A. Nestor Matthew B. A. McDermott Willie Boag G. Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 31 109 0 02 Aug 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 34 205 0 19 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions Gal Levy-Fix G. Kuperman Noémie Elhadad 26 12 0 06 Jun 2019
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning Xuefeng Peng Yi Ding David Wihl Omer Gottesman Matthieu Komorowski Li-wei H. Lehman A. Ross A. Faisal Finale Doshi-Velez OffRL 11 86 0 15 Jan 2019
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN Ruidi Chen I. Paschalidis OOD 17 3 0 14 Nov 2018
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters Aniruddh Raghu Omer Gottesman Yao Liu Matthieu Komorowski A. Faisal Finale Doshi-Velez Emma Brunskill OffRL 25 33 0 03 Jul 2018
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis Brenden K. Petersen Jiachen Yang Will Grathwohl Chase Cockrell Claudio Santiago G. An Daniel Faissol AI4CE 15 26 0 08 Feb 2018
Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method Wei Li Zheng Yang Xu Sun MedIm LM&MA 24 26 0 27 Jan 2018
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 28 281 0 16 Nov 2017