Back to search

Article

Ventilator Treatment Policy Control based on BCQ off-line Deep Reinforcement Learning

2024-06-10

Abstract excerpt

<title>Abstract</title> <p>Ventilator plays a crucial role in treating cardiopulmonary disorders, and proper parameter settings are essential for the successful recovery of patients. Traditional ventilator control relies on the expertise of physicians, leading to delayed treatment responses. Although some machine learning methods have made improvements in this scenario, they are inadequate to adapt to dynamic cha...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
41bcb6c9-330b-5237-b865-ff2f4ed8eaf2
DOI
10.21203/rs.3.rs-4485071/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Ventilator Treatment Policy Control based on BCQ off-line Deep Reinforcement LearningDOI 10.21203/rs.3.rs-4485071/v1
Select a neighboring publication to make it the new centre.