Machine learning model evaluation on healthcare applications: A Review
Cezar Miranda Paula de Souza,
Cephas Alves da Silveira Barreto,
Lhayana Vieira de Macedo
et al.
Abstract:Machine Learning (ML) models have been applied to solve problems in various fields, which necessarily involves proper evaluation of models to ensure performance. Once deployed, ML models are subject to performance issues, such as those related to changes in data (drift). This type of issue has prompted efforts in model analysis and maintenance, as well as in continual learning, which seeks the ability to continuously learn from a (continuous) stream of data. Therefore, it's important to understand and develop … Show more
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