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Review
. 2020 Mar 24;24(1):101.
doi: 10.1186/s13054-020-2785-y.

Artificial Intelligence in the Intensive Care Unit

Guillermo Gutierrez  1
Affiliations
Review

Artificial Intelligence in the Intensive Care Unit

Guillermo Gutierrez. Crit Care. .

Erratum in

Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.

PubMed Disclaimer

Conflict of interest statement

G Gutierrez - US Patent App. 16/395,266, 2019 on Mechanical Ventilation Machine Learning.

Figures

Fig. 1
Fig. 1
The growth of computer power, based on calculations per second purchased by $1000 USD (constant 2015) during the past century. Also shown are significant developments in technology associated with increases in computer power. Modified from https://www.flickr.com/photos/ jurvetson/25046013104 (with license). Original graph in Ray Kurzweil. “The singularity is near: When humans transcend biology,” p67, The Viking Press, 2006
Fig. 2
Fig. 2
A logical IF expression. The condition is evaluated by the expression, and Instruction 1 is executed if TRUE, otherwise, Instruction 2
Fig. 3
Fig. 3
Machine learning is a branch of artificial intelligence encompassing two major approaches: supervised and unsupervised learning. Shown under each branch are algorithm types used in model development
Fig. 4
Fig. 4
An example of a classification problem showing features describing five classes of animal. Each line represents an instance
Fig. 5
Fig. 5
The process of creating a machine learning (ML) model
See this image and copyright information in PMC

References

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