Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countries

BACKGROUND: We developed machine learning models to understand the predictors of shorter-, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by COVID-19 in four countries in the Americas. METHODS: We used data from adult HD patients treated at regional institutions o...

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Detalles Bibliográficos
Autores principales: Guinsburg, Adrián M., Jiao, Yue, Bessone, María Inés Díaz, Monaghan, Caitlin K., Magalhães, Beatriz, Kraus, Michael A., Kotanko, Peter, Hymes, Jeffrey L., Kossmann, Robert J., Berbessi, Juan Carlos, Maddux, Franklin W., Usvyat, Len A., Larkin, John W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587666/
https://www.ncbi.nlm.nih.gov/pubmed/36273142
http://dx.doi.org/10.1186/s12882-022-02961-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587666/
https://www.ncbi.nlm.nih.gov/pubmed/36273142
http://dx.doi.org/10.1186/s12882-022-02961-x

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