Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

Abstract Background Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in healthcare domains. Recent years have seen a great progress of applying RL in addressing decision-making problems in Intensive Care Units (ICUs). However, since the...

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Bibliographic Details
Main Authors: Chao Yu, Guoqi Ren, Yinzhao Dong
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Reinforcement learning
Inverse learning
Mechanical ventilation
Sedative dosing
Intensive care units
Online Access:http://link.springer.com/article/10.1186/s12911-020-1120-5

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http://link.springer.com/article/10.1186/s12911-020-1120-5

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