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...

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Detalles Bibliográficos
Autores principales: Reimer, Andrew P, Schiltz, Nicholas K, Ho, Vanessa P, Madigan, Elizabeth A, Koroukian, Siran M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Original Research
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

Internet

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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