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Published in: Critical Care 1/2019

Open Access 01-12-2019 | Artificial Intelligence | Editorial

Intelligently learning from data

Authors: Edward Palmer, Roman Klapaukh, Steve Harris, Mervyn Singer, the INFORM-lab

Published in: Critical Care | Issue 1/2019

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Excerpt

Methods from the fields of artificial intelligence (AI) and machine learning (ML) are entering the medical literature at an unprecedented rate. A PubMed search using the keyword “Machine Learning” has shown an accelerating year-on-year increase in publications. Leveraged with “big data”, these approaches are often lauded as transformative in healthcare with the promise that they can and will solve all of our problems [1]. While these developments are indeed exciting, we caution the need to place realistic constraints on our expectations. …
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Metadata
Title
Intelligently learning from data
Authors
Edward Palmer
Roman Klapaukh
Steve Harris
Mervyn Singer
the INFORM-lab
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2019
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-019-2424-7

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