Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature
Vivian Schmeis Arroyo,
Marco Iosa,
Gabriella Antonucci
et al.
Abstract:Male infertility is a relevant public health problem, but there is no systematic review of the different machine learning (ML) models and their accuracy so far. The present review aims to comprehensively investigate the use of ML algorithms in predicting male infertility, thus reporting the accuracy of the used models in the prediction of male infertility as a primary outcome. Particular attention will be paid to the use of artificial neural networks (ANNs). A comprehensive literature search was conducted in P… Show more
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