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POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas
Yide Yu
, Huijie Li
,
Dennis Wong
, Anmin Hu
, Jian Huo
, Yan Ma
,
Yue Liu
Faculty of Applied Sciences
Macao Polytechnic University
Shenzhen People's Hospital
Shenzhen United Scheme Technology Company Limited
Beijing University of Posts and Telecommunications
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Computer Science
Markov Decision Process
100%
Low Income Area
100%
Traditional Method
33%
And-States
33%
Process Model
33%
Constrained Environment
33%
Control Framework
33%
Robust Solution
33%
Bispectral Index
33%
Control Process
33%
Tree Search
33%
Engineering
Observables
100%
Partially Observable Markov Decision Process
50%
Observability
33%
Filtration
16%
Q-Learning
16%
Process Control
16%
Robust Solution
16%
Medicine and Dentistry
Decision Making
100%
Writing
33%
Physiological State
33%
Bispectral Index
33%
Physiological Monitoring
33%