Literature DB >> 30397359

Individualized sepsis treatment using reinforcement learning.

Suchi Saria1,2,3.   

Abstract

Entities:  

Mesh：

Year:  2018        PMID： 30397359     DOI： 10.1038/s41591-018-0253-x

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  5 in total

1.  Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.

Authors:  Sergey E Golovenkin; Jonathan Bac; Alexander Chervov; Evgeny M Mirkes; Yuliya V Orlova; Emmanuel Barillot; Alexander N Gorban; Andrei Zinovyev
Journal:  Gigascience       Date:  2020-11-25       Impact factor: 6.524

2.  VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning.

Authors:  Raghav Awasthi; Keerat Kaur Guliani; Saif Ahmad Khan; Aniket Vashishtha; Mehrab Singh Gill; Arshita Bhatt; Aditya Nagori; Aniket Gupta; Ponnurangam Kumaraguru; Tavpritesh Sethi
Journal:  Intell Based Med       Date:  2022-05-20

3.  Machine Learning Challenges in Pharmacogenomic Research.

Authors:  Wei-Qi Wei; Juan Zhao; Dan M Roden; Josh F Peterson
Journal:  Clin Pharmacol Ther       Date:  2021-07-03       Impact factor: 6.903

4.  Early detection of sepsis using artificial intelligence: a scoping review protocol.

Authors:  Ivana Pepic; Robert Feldt; Lars Ljungström; Richard Torkar; Daniel Dalevi; Hanna Maurin Söderholm; Lars-Magnus Andersson; Marina Axelson-Fisk; Katarina Bohm; Bengt Arne Sjöqvist; Stefan Candefjord
Journal:  Syst Rev       Date:  2021-01-16

Review 5.  Closed-Loop Controlled Fluid Administration Systems: A Comprehensive Scoping Review.

Authors:  Guy Avital; Eric J Snider; David Berard; Saul J Vega; Sofia I Hernandez Torres; Victor A Convertino; Jose Salinas; Emily N Boice
Journal:  J Pers Med       Date:  2022-07-18
  5 in total

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