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
Monique Tonani Novaes, Osmar Luiz Ferreira de Carvalho, Pedro Henrique Guimarães Ferreira and 7 more
Informatics in Medicine Unlocked · 2021
doi:10.1016/j.imu.2021.100538 (opens in a new tab)
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