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Description
Using machine learning approaches, we developed diagnostic models for asthenozoospermia and teratozoospermia diagnosis, with the Glmnet model showing strong performance (AUC=0.99 for asthenozoospermia, AUC=0.9997 for teratozoospermia), although these results require external validation
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