How machine learning could be used in clinical practice during an epidemic
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2020-05-01
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Series: | Critical Care |
Online Access: | http://link.springer.com/article/10.1186/s13054-020-02962-y |
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doaj-5d9c6889baea4b36953f5ee7858ca44f2020-11-25T03:46:31ZengBMCCritical Care1364-85352020-05-012411310.1186/s13054-020-02962-yHow machine learning could be used in clinical practice during an epidemicCharles Verdonk0Franck Verdonk1Gérard Dreyfus2Department of Neurosciences and Cognitive Sciences, Unit of Neurophysiology of Stress, French Armed Forces Biomedical Research InstituteDepartment of Anaesthesiology, Perioperative and Pain Medicine, Stanford University School of MedicineESPCI Paris – PSL Universityhttp://link.springer.com/article/10.1186/s13054-020-02962-y |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Charles Verdonk Franck Verdonk Gérard Dreyfus |
spellingShingle |
Charles Verdonk Franck Verdonk Gérard Dreyfus How machine learning could be used in clinical practice during an epidemic Critical Care |
author_facet |
Charles Verdonk Franck Verdonk Gérard Dreyfus |
author_sort |
Charles Verdonk |
title |
How machine learning could be used in clinical practice during an epidemic |
title_short |
How machine learning could be used in clinical practice during an epidemic |
title_full |
How machine learning could be used in clinical practice during an epidemic |
title_fullStr |
How machine learning could be used in clinical practice during an epidemic |
title_full_unstemmed |
How machine learning could be used in clinical practice during an epidemic |
title_sort |
how machine learning could be used in clinical practice during an epidemic |
publisher |
BMC |
series |
Critical Care |
issn |
1364-8535 |
publishDate |
2020-05-01 |
url |
http://link.springer.com/article/10.1186/s13054-020-02962-y |
work_keys_str_mv |
AT charlesverdonk howmachinelearningcouldbeusedinclinicalpracticeduringanepidemic AT franckverdonk howmachinelearningcouldbeusedinclinicalpracticeduringanepidemic AT gerarddreyfus howmachinelearningcouldbeusedinclinicalpracticeduringanepidemic |
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