HIGHLIGHTS
- who: Julliana Marques and colleagues from the , Pandemic in Brazil Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte have published the article: Evaluating Time Influence over Performance of Machine-Learning-Based Diagnosis: A Case Study of COVID-19 Pandemic in Brazil, in the Journal: (JOURNAL)
- what: The authors propose a machinelearning-based approach for diagnosing COVID-19 that considers the importance of time in model predictions. The approach analyses the performance of XGBoost using two different time-based strategies for model training: month-to-month and accumulated strategies. As data . . .
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