Table1_Meta-analysis of machine learning models for the diagnosis of central precocious puberty based on clinical, hormonal (laboratory) and imaging data.docx
Background<p>Central precocious puberty (CPP) is a common endocrine disorder in children, and its diagnosis primarily relies on the gonadotropin-releasing hormone (GnRH) stimulation test, which is expensive and time-consuming. With the widespread application of artificial intelligence in medic...
Saved in:
| Main Author: | Yilin Chen (678552) (author) |
|---|---|
| Other Authors: | Xueqin Huang (12305221) (author), Lu Tian (286412) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ONLINE SUPPLEMENT APPENDIX for Comparative Efficacy of GnRHa Monotherapy vs. Combination Therapy for Central Precocious Puberty: A Systematic Review and Meta-Analysis
by: Chang-En Tsai (22423585)
Published: (2025) -
Supplementary Figure 1
by: Trine Koch Hueg (22328731)
Published: (2025) -
Table2_Metabolomic disorders caused by an imbalance in the gut microbiota are associated with central precocious puberty.docx
by: Chunjie Liu (3437477)
Published: (2024) -
Image1_Metabolomic disorders caused by an imbalance in the gut microbiota are associated with central precocious puberty.tif
by: Chunjie Liu (3437477)
Published: (2024) -
Image2_Metabolomic disorders caused by an imbalance in the gut microbiota are associated with central precocious puberty.tif
by: Chunjie Liu (3437477)
Published: (2024)