Machine learning in critical care: state-of-the-art and a sepsis case study

Machine learning in critical care: state-of-the-art and a sepsis case study

Abstract Background Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the daunting task of extracting usable knowledge from...

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Bibliographic Details
Main Authors: Alfredo Vellido, Vicent Ribas, Carles Morales, Adolfo Ruiz Sanmartín, Juan Carlos Ruiz Rodríguez
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BioMedical Engineering OnLine
Subjects:
Critical care
Intensive care unit
Machine Learning
Sepsis
Online Access:http://link.springer.com/article/10.1186/s12938-018-0569-2

Internet

http://link.springer.com/article/10.1186/s12938-018-0569-2

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