Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

Inverse 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 health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified beforehand to indicate the goal of tasks....

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Bibliographic Details
Main Authors: Chao Yu, Jiming Liu, Hongyi Zhao
Format: Article
Language:English
Published: BMC 2019-04-01
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/s12911-019-0763-6

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http://link.springer.com/article/10.1186/s12911-019-0763-6

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