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Applying Supervised Machine Learning to Identify Which Patient Characteristics Identify the Highest Rates of Mortality Post-Interhospital Transfer
OBJECTIVE: To demonstrate the usefulness of applying supervised machine-learning analyses to identify specific groups of patients that experience high levels of mortality post-interhospital transfer. METHODS: This was a cross-sectional analysis of data from the Health Care Utilization Project 2013 N...
Autores principales: | Reimer, Andrew P, Schiltz, Nicholas K, Ho, Vanessa P, Madigan, Elizabeth A, Koroukian, Siran M |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425528/ https://www.ncbi.nlm.nih.gov/pubmed/30911219 http://dx.doi.org/10.1177/1178222619835548 |
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