Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty
Abstract Objective The current diagnosis of central precocious puberty (CPP) relies on the gonadotropin-releasing hormone analogue (GnRHa) stimulation test, which requires multiple invasive blood sampling procedures. The aim of this study was to construct machine learning models incorporating basal...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
BMC,
2023-11-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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