Comprehensive assessment of the true sepsis burden using electronic health record screening augmented by natural language processing
| Title: | Comprehensive assessment of the true sepsis burden using electronic health record screening augmented by natural language processing |
|---|---|
| Authors: | Arnold, R; Isserman, J; Smola, S; Jackson, E |
| Source: | Critical Care ; volume 18, issue S1 ; ISSN 1364-8535 |
| Publisher Information: | Springer Science and Business Media LLC |
| Publication Year: | 2014 |
| Document Type: | article in journal/newspaper |
| Language: | English |
| DOI: | 10.1186/cc13434 |
| DOI: | 10.1186/cc13434.pdf |
| DOI: | 10.1186/cc13434/fulltext.html |
| Availability: | http://dx.doi.org/10.1186/cc13434; https://link.springer.com/content/pdf/10.1186/cc13434.pdf; https://link.springer.com/article/10.1186/cc13434/fulltext.html |
| Rights: | https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining |
| Accession Number: | edsbas.9F0C1D12 |
| Database: | BASE |