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Sandipan Das

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Open access Aug 2026

Comparative machine learning analysis identifies random forest and adaboost as superior models for the evaluation of semen quality and reproductive hormones

Background Semen analysis is a widely accepted laboratory investigation for evaluating male infertility. However, in cases of idiopathic or unexplained male infertility, comprehensive assessment may require blood-based profiling of a reproductive hormone panel—including follicle-stimulating hormone (FSH), luteinizing h...

S. Roychoudhury, S. Paul, Birupakshya Paul Choudhury et al. · 0 citations

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