Open AccessAlgorithms for Predicting the Probability of Azoospermia from Follicle Stimulating Hormone: Design and Multi-Institutional External Validation
Author(s) -
Michael B. Tradewell,
Walter Cazzaniga,
Rodrigo Pagani de Souza,
Rohit Reddy,
Luca Boeri,
Eliyahu Kresch,
Luca Morgantini,
Emad Ibrahim,
Craig Niederberger,
Andrea Salonia,
Ranjith Ramasamy
Publication year - 2022
Publication title -
the world journal of men s health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.711
H-Index - 10
eISSN - 2287-4690
pISSN - 2287-4208
DOI - 10.5534/wjmh.210138
Subject(s) - azoospermia , follicle stimulating hormone , semen analysis , luteinizing hormone , medicine , semen , male infertility , receiver operating characteristic , infertility , andrology , urology , gynecology , hormone , biology , pregnancy , genetics
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