Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning

We present a novel setup for treating sepsis using distributional reinforcement learning (RL). Sepsis is a life-threatening medical emergency. Its treatment is considered to be a challenging high-stakes decision-making problem, which has to procedurally account for risk. Treating sepsis by machine l...

Descripción completa

Detalles Bibliográficos
Autores principales: Böck, Markus, Malle, Julien, Pasterk, Daniel, Kukina, Hrvoje, Hasani, Ramin, Heitzinger, Clemens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632869/
https://www.ncbi.nlm.nih.gov/pubmed/36327195
http://dx.doi.org/10.1371/journal.pone.0275358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632869/
https://www.ncbi.nlm.nih.gov/pubmed/36327195
http://dx.doi.org/10.1371/journal.pone.0275358

Ejemplares similares