Department of Mathematics (ECEO), Lusophone University of Humanities and Technologies, Lisbon, Portugal
Carlos Pedro Goncalves is currently working as a Professor in the Department of Mathematics. His research interests includes Medicine. He is serving as an editorial member and reviewer of several international reputed journals. He has successfully completed his Administrative responsibilities. He has authored of many research articles/books related to Medicine.
Research Article
Comparing Decision Tree-Based Ensemble Machine Learning Models for COVID-19 Death Probability Profiling
Author(s): Carlos Pedro Goncalves* and Jose Rouco
Background: Age group, sex and underlying comorbidity or disease have been identified as major risk factors in COVID-19 severity and death risk.
Aim: We compare the performance of major decision tree-based ensemble machine learning models on the task of COVID-19 death probability prediction, conditional on three risk factors: age group, sex and underlying comorbidity or disease, using the US Centers for Disease Control and Prevention (CDC)’s COVID-19 case surveillance dataset.
Method: To evaluate the impact of the three risk factors on COVID-19 death probability, we extract and analyze the conditional probability profile produced by the best performing model.
Result: The results show the presence of an exponential rise in death probability from COVID-19 with the age group, with male.. View more»