L. B. Zandoná

Chagas disease and SARS-CoV-2 coinfection does not lead to worse in-hospital outcomes

C. Polanczyk, L. Moreira, M. Marcolino, 2021, Scientific Reports.

Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry

Yara Cristina Neves Marques Barbosa Ribeiro, Bruno Ribeiro, C. Polanczyk, 2022, Internal and Emergency Medicine.

Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset

Marcos André Gonçalves, Yara Cristina Neves Marques Barbosa Ribeiro, L. Moreira, 2023, Scientific Reports.

Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit

Yara Cristina Neves Marques Barbosa Ribeiro, M. Marcolino, K. Ruschel, 2023, Frontiers in Medicine.

Lesão Miocárdica e Prognóstico em Pacientes Hospitalizados com COVID-19 no Brasil: Resultados do Registro Nacional de COVID-19

C. Polanczyk, L. Passaglia, M. Marcolino, 2023, Arquivos brasileiros de cardiologia.

Effectiveness, Explainability and Reliability of Machine Meta-Learning Methods for Predicting Mortality in Patients with COVID-19: Results of the Brazilian COVID-19 Registry

Marcos André Gonçalves, Yara Cristina Neves Marques Barbosa Ribeiro, L. Moreira, 2021, medRxiv.

Mechanical Ventilation and Death During Pregnancy Complicated by COVID-19: A Prognostic Analysis from the Brazilian COVID-19 Registry Score

M. Marcolino, C. Cardoso, G. Bastos, 2021 .

Chagas disease and SARS-CoV-2 coinfection does not lead to worse in-hospital outcomes: results from the Brazilian COVID-19 Registry

C. Polanczyk, L. Moreira, M. Marcolino, 2021, medRxiv.