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Assessing stroke severity using electronic health record data: a machine learning approach
BACKGROUND: Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text in physician reports, structured real-world evidence databases seldom include th...
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| Publicat a: | BMC Med Inform Decis Mak |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6950922/ https://ncbi.nlm.nih.gov/pubmed/31914991 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-1010-x |
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