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Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event
Background In the hospital setting, it is crucial to identify patients at risk for deterioration before it fully develops, so providers can respond rapidly to reverse the deterioration. Rapid response (RR) activation criteria include a subjective component (“worried about the patient”) that is ofte...
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| Publicat a: | Appl Clin Inform |
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| Autors principals: | , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Georg Thieme Verlag KG
2019
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| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6920051/ https://ncbi.nlm.nih.gov/pubmed/31853936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0039-3401814 |
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