| Title: |
Machine learning can classify vital sign alerts as real or artifact in online continuous monitoring data |
| Authors: |
Hravnak, M; Chen, L; Dubrawski, A; Wang, D; Bose, E; Clermont, G; Kaynar, AM; Wallace, D; Holder, A; Pinsky, MR |
| Source: |
Intensive Care Medicine Experimental ; volume 3, issue S1 ; ISSN 2197-425X |
| Publisher Information: |
Springer Science and Business Media LLC |
| Publication Year: |
2015 |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1186/2197-425x-3-s1-a550 |
| DOI: |
10.1186/2197-425X-3-S1-A550.pdf |
| DOI: |
10.1186/2197-425X-3-S1-A550/fulltext.html |
| Availability: |
http://dx.doi.org/10.1186/2197-425x-3-s1-a550; http://link.springer.com/content/pdf/10.1186/2197-425X-3-S1-A550.pdf; http://link.springer.com/article/10.1186/2197-425X-3-S1-A550/fulltext.html |
| Rights: |
http://creativecommons.org/licenses/by/4.0 |
| Accession Number: |
edsbas.25EDFE5A |
| Database: |
BASE |