Biochemical identification of prepubertal boys with Klinefelter syndrome by combined reproductive hormone profiling using machine learning.

Endocrine connections（2023）

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摘要

Supervised ML applied to clinically relevant variables enabled computational classification of control and KS profiles. The application of age- and sex-adjusted SDS provided robust predictions irrespective of age. Specialized ML models applied to combined reproductive hormone concentrations may be useful diagnostic tools to improve the identification of prepubertal boys with KS.

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关键词

Klinefelter syndrome,classification,early diagnosis,machine learning

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