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Thiago Augusto Hernandes Rocha, Cyrus Elahi, Núbia Cristina da Silva, Francis M. Sakita, Anthony Fuller, Blandina T. Mmbaga, Eric P. Green, Michael M. Haglund, Catherine A. Staton and Joao Ricardo Nickenig Vissoci

LMICs because models for HICs may perform badly when extrapolated to poorer settings. 36 Another limitation of previous prognostic models is the use of clinical trial data for model development, which could limit external validity. 23 An increased prevalence of prospectively collected registry data and greater electronic health record use in LMICs provide an opportunity to develop culturally and contextually relevant prognostic models. Machine learning (ML), a branch of artificial intelligence, is a powerful approach to model development able to automatically