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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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| Publicado no: | Appl Clin Inform |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Georg Thieme Verlag KG
2019
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| Acesso em linha: | 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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