Enhancing the clinical relevance of haemorrhage prediction models in trauma
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-09-01
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| Series: | Military Medical Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40779-023-00476-6 |
| _version_ | 1797453502643961856 |
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| author | Sankalp Tandle Jared M. Wohlgemut Max E. R. Marsden Erhan Pisirir Evangelia Kyrimi Rebecca S. Stoner William Marsh Zane B. Perkins Nigel R. M. Tai |
| author_facet | Sankalp Tandle Jared M. Wohlgemut Max E. R. Marsden Erhan Pisirir Evangelia Kyrimi Rebecca S. Stoner William Marsh Zane B. Perkins Nigel R. M. Tai |
| author_sort | Sankalp Tandle |
| collection | DOAJ |
| first_indexed | 2024-03-09T15:23:46Z |
| format | Article |
| id | doaj.art-cdb753a5f50a40b9a02f9eac1c07a7ac |
| institution | Directory Open Access Journal |
| issn | 2054-9369 |
| language | English |
| last_indexed | 2024-03-09T15:23:46Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Military Medical Research |
| spelling | doaj.art-cdb753a5f50a40b9a02f9eac1c07a7ac2023-11-26T12:40:55ZengBMCMilitary Medical Research2054-93692023-09-011011310.1186/s40779-023-00476-6Enhancing the clinical relevance of haemorrhage prediction models in traumaSankalp Tandle0Jared M. Wohlgemut1Max E. R. Marsden2Erhan Pisirir3Evangelia Kyrimi4Rebecca S. Stoner5William Marsh6Zane B. Perkins7Nigel R. M. Tai8Centre for Trauma Sciences, Blizard Institute, Queen Mary University of LondonCentre for Trauma Sciences, Blizard Institute, Queen Mary University of LondonCentre for Trauma Sciences, Blizard Institute, Queen Mary University of LondonDepartment of Electronic Engineering and Computer Science, Queen Mary University of LondonDepartment of Electronic Engineering and Computer Science, Queen Mary University of LondonCentre for Trauma Sciences, Blizard Institute, Queen Mary University of LondonDepartment of Electronic Engineering and Computer Science, Queen Mary University of LondonCentre for Trauma Sciences, Blizard Institute, Queen Mary University of LondonCentre for Trauma Sciences, Blizard Institute, Queen Mary University of Londonhttps://doi.org/10.1186/s40779-023-00476-6TraumaInjuryBlood transfusionMassive transfusionPredictionArtificial intelligence |
| spellingShingle | Sankalp Tandle Jared M. Wohlgemut Max E. R. Marsden Erhan Pisirir Evangelia Kyrimi Rebecca S. Stoner William Marsh Zane B. Perkins Nigel R. M. Tai Enhancing the clinical relevance of haemorrhage prediction models in trauma Military Medical Research Trauma Injury Blood transfusion Massive transfusion Prediction Artificial intelligence |
| title | Enhancing the clinical relevance of haemorrhage prediction models in trauma |
| title_full | Enhancing the clinical relevance of haemorrhage prediction models in trauma |
| title_fullStr | Enhancing the clinical relevance of haemorrhage prediction models in trauma |
| title_full_unstemmed | Enhancing the clinical relevance of haemorrhage prediction models in trauma |
| title_short | Enhancing the clinical relevance of haemorrhage prediction models in trauma |
| title_sort | enhancing the clinical relevance of haemorrhage prediction models in trauma |
| topic | Trauma Injury Blood transfusion Massive transfusion Prediction Artificial intelligence |
| url | https://doi.org/10.1186/s40779-023-00476-6 |
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