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
Testosterone is the most important male sex hormone, and its deficiency brings many physical and mental harms. Efficiently identifying individuals with low testosterone is crucial prior to starting proper treatment. However, routine monitoring of testosterone levels can be costly in many regions, re...
Main Authors: | Monique Tonani Novaes, Osmar Luiz Ferreira de Carvalho, Pedro Henrique Guimarães Ferreira, Taciana Leonel Nunes Tiraboschi, Caroline Santos Silva, Jean Carlos Zambrano, Cristiano Mendes Gomes, Eduardo de Paula Miranda, Osmar Abílio de Carvalho Júnior, José de Bessa Júnior |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
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Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914821000289 |
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