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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratification tools, namely the Quick Sequential Organ Fa...
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| Publicat a: | Medicine (Baltimore) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wolters Kluwer Health
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6380871/ https://ncbi.nlm.nih.gov/pubmed/30732136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000014197 |
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