Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset
| Autor: | Novaes, Monique Tonani, Ferreira de Carvalho, Osmar Luiz, Guimarães Ferreira, Pedro Henrique, Nunes Tiraboschi, Taciana Leonel, Silva, Caroline Santos, Zambrano, Jean Carlos, Gomes, Cristiano Mendes, de Paula Miranda, Eduardo, Abílio de Carvalho Júnior, Osmar, de Bessa Júnior, José |
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| Zdroj: | In Informatics in Medicine Unlocked 2021 23 |
| Databáze: | ScienceDirect |
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