A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients
Abstract Background A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) technology is increasingly being used in medical decision-making systems t...
Main Authors: | Tianlai Lin, Xinjue Zhang, Jianbing Gong, Rundong Tan, Weiming Li, Lijun Wang, Yingxia Pan, Xiang Xu, Junhui Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-05-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-023-02175-7 |
Similar Items
-
Assessment of patients with suspected sepsis in ambulance services: a qualitative interview study
by: Agnes Olander, et al.
Published: (2021-04-01) -
Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping
by: Weiwei Liu, et al.
Published: (2021-01-01) -
Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
by: Luqin Fan, et al.
Published: (2021-01-01) -
Deep Deterministic Policy Gradient With Prioritized Sampling for Power Control
by: Shiyang Zhou, et al.
Published: (2020-01-01) -
Generative Adversarial Inverse Reinforcement Learning With Deep Deterministic Policy Gradient
by: Ming Zhan, et al.
Published: (2023-01-01)