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Development and Validation of Clinical Diagnostic Model for Girls with Central Precocious Puberty: Machine-learning Approaches.

Quynh Thi Vu HuynhNguyen-Quoc-Khanh LeShih-Yi HuangBan Tran HoTru Huy VuHong Thi Minh PhamAn Le PhamJia-Woei HouNgan Thi Kim NguyenYang Ching Chen
Published in: PloS one (2022)
We developed a diagnostic model based on clinical features and a single sample 30-minute post-stimulation to identify CPP in girls that can reduce distress for children caused by multiple blood samplings.
Keyphrases
  • machine learning
  • young adults
  • deep learning