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

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

Abstract 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 institu...

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Bibliographic Details
Main Authors: Adrián M. Guinsburg, Yue Jiao, María Inés Díaz Bessone, Caitlin K. Monaghan, Beatriz Magalhães, Michael A. Kraus, Peter Kotanko, Jeffrey L. Hymes, Robert J. Kossmann, Juan Carlos Berbessi, Franklin W. Maddux, Len A. Usvyat, John W. Larkin
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Nephrology
Subjects:
COVID-19
Hemodialysis
Mortality Risk
Machine Learning
Prediction Model
Multinational
Online Access:https://doi.org/10.1186/s12882-022-02961-x

Internet

https://doi.org/10.1186/s12882-022-02961-x

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