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Outcome prediction modelling for trauma patients: a German perspective
Prognostic models may have some clinical advantages when predicting the outcome of individual trauma patients is relevant. The variables that are predicted to have a negative effect on outcome in a model can also guide clinicians in their resuscitation attempt of trauma victims.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331143/ https://www.ncbi.nlm.nih.gov/pubmed/25672913 http://dx.doi.org/10.1186/s13054-014-0616-8 |
| _version_ | 1782357669908054016 |
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| author | Bouamra, Omar Lesko, Mehdi M |
| author_facet | Bouamra, Omar Lesko, Mehdi M |
| author_sort | Bouamra, Omar |
| collection | PubMed |
| description | Prognostic models may have some clinical advantages when predicting the outcome of individual trauma patients is relevant. The variables that are predicted to have a negative effect on outcome in a model can also guide clinicians in their resuscitation attempt of trauma victims. |
| format | Online Article Text |
| id | pubmed-4331143 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-43311432015-02-18 Outcome prediction modelling for trauma patients: a German perspective Bouamra, Omar Lesko, Mehdi M Crit Care Commentary Prognostic models may have some clinical advantages when predicting the outcome of individual trauma patients is relevant. The variables that are predicted to have a negative effect on outcome in a model can also guide clinicians in their resuscitation attempt of trauma victims. BioMed Central 2014-10-31 2014 /pmc/articles/PMC4331143/ /pubmed/25672913 http://dx.doi.org/10.1186/s13054-014-0616-8 Text en © Bouamra and Lesko; licensee BioMed Central Ltd. 2014 The licensee has exclusive rights to distribute this article, in any medium, for 12 months following its publication. After this time, the article is available under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Commentary Bouamra, Omar Lesko, Mehdi M Outcome prediction modelling for trauma patients: a German perspective |
| title | Outcome prediction modelling for trauma patients: a German perspective |
| title_full | Outcome prediction modelling for trauma patients: a German perspective |
| title_fullStr | Outcome prediction modelling for trauma patients: a German perspective |
| title_full_unstemmed | Outcome prediction modelling for trauma patients: a German perspective |
| title_short | Outcome prediction modelling for trauma patients: a German perspective |
| title_sort | outcome prediction modelling for trauma patients: a german perspective |
| topic | Commentary |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331143/ https://www.ncbi.nlm.nih.gov/pubmed/25672913 http://dx.doi.org/10.1186/s13054-014-0616-8 |
| work_keys_str_mv | AT bouamraomar outcomepredictionmodellingfortraumapatientsagermanperspective AT leskomehdim outcomepredictionmodellingfortraumapatientsagermanperspective |