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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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