Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment

Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment

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Sepsis is a potentially life-threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient’s state to guide the management of intravenous fluids and vasopressors, among other interventions. Despite decad...

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Bibliographic Details
Main Authors:	Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead, David Swigon
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2022-02-01
Series:	PLOS Digital Health
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931225/?tool=EBI

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