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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-11-01
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Series: | BioMedical Engineering OnLine |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12938-018-0569-2 |