Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach (original) (raw)

Deep Reinforcement Learning for Sepsis Treatment

Peter Szolovits

arXiv (Cornell University), 2017

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Optimal Fluid and Vasopressor Interventions in Septic ICU Patients Through Reinforcement Learning Model

Maximiliano Mollura

Computing in Cardiology (CinC), 2012, 2022

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Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation

Luchen Li

ArXiv, 2020

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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features

Maximiliano Mollura

IEEE open journal of engineering in medicine and biology, 2024

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

Aldo Faisal

AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018

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Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis

Brenden Petersen

ArXiv, 2018

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Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients

Peter Szolovits

arXiv (Cornell University), 2017

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Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care

Aldo Faisal

arXiv (Cornell University), 2019

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Deep reinforcement learning for controlled piecewise deterministic Markov process in cancer treatment follow-up

Régis Sabbadin

2024

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Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis

Ari Ercole

Journal of Clinical Medicine, 2023

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Machine learning in critical care: state-of-the-art and a sepsis case study

Juan Carlos Ruiz Rodríguez

BioMedical Engineering OnLine, 2018

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A Deep Learning-Based Sepsis Estimation Scheme

Bilal Yaseen Al-Mualemi

IEEE Access, 2021

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Analysis of Reward Formulation Based on Mean Arterial Pressure in Reinforcement Learning for Critically Ill Septic Patient

Maximiliano Mollura

Computing in Cardiology (CinC), 2012, 2023

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Developing Quality Measures for Sepsis Care in the ICU

E. Septimus

The Joint Commission Journal on Quality and Patient Safety, 2007

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Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine

Gary An

Journal of Computational Biology, 2019

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From Reinforcement Learning to Deep Reinforcement Learning: An Overview

Pierre Baldi

Lecture Notes in Computer Science, 2018

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Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

Johannes Bickenbach

npj Digital Medicine

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Clinical Intervention Prediction and Understanding with Deep Neural Networks

Peter Szolovits

Machine Learning for Healthcare Conference, 2017

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Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

Mokhaled N . A . Al-Hamadani

Sensors, 2024

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Clinical Intervention Prediction and Understanding using Deep Networks

Peter Szolovits

arXiv (Cornell University), 2017

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A new evidence-based optimal control in healthcare delivery: A better clinical treatment management for septic patients

Chih-Hang John Wu

Computers and Industrial Engineering, 2019

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Artificial Intelligence in Infection Management in the ICU

Sofie Van Hoecke

Annual Update in Intensive Care and Emergency Medicine

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Hospital Costs Associated with Sepsis Compared with Other Medical Conditions

denise danna

Critical Care Nursing Clinics of North America, 2018

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Sepsis World Model: A MIMIC-based OpenAI Gym "World Model" Simulator for Sepsis Treatment

Amirhossein Kiani

ArXiv, 2019

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Preparing for the next pandemic: Simulation-based deep reinforcement learning to discover and test multimodal control of systemic inflammation using repurposed immunomodulatory agents

Gary An

Frontiers in Immunology, 2022

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Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey

Zina Chkirbene

ArXiv, 2021

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Deep Reinforcement Learning Framework for COVID Therapy: A Research Perspective

Bensujin Bennet, Ali Sulaiman

Current Bioinformatics

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Reinforcement learning for intelligent healthcare applications: A survey

G. Pietro

Artificial Intelligence in Medicine, 2020

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Sepsis and Septic Shock

Yatin Mehta

Journal of cardiac critical care TSS, 2017

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Using Reinforcement Learning to Control Life Support Systems

Devika Subramanian

SAE Technical Paper Series, 2004

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Mathematical Modeling of Patient Care

Philip Crooke

Computational and Mathematical Methods in Medicine, 2012

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A Data-Driven Model for Optimizing Therapy Duration for Septic Patients

Mohamed Ghalwash

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Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients

Yuval Shahar

arXiv (Cornell University), 2017

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A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation

Martin R. Oswald

Lecture Notes in Computer Science, 2021

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Feasibility of Discharge Planning in Intensive Care Units: A Pilot Study

Kathryn Bowles

American Journal of Critical Care, 2012

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