Xiaoyan Peng

Capital Institute of Pediatrics

SCHOLARLY PAPERS

1

DOWNLOADS

42

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Development and Validation of an Artificial Intelligence Model to Screen Gitelman Syndrome in Patients with Hypokalemia: A Multicenter Study

Number of pages: 36 Posted: 18 Mar 2025
Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, affiliation not provided to SSRN, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Capital Institute of Pediatrics, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital, Cangzhou Central Hospital, Sun Yat-sen University (SYSU), Cangzhou Central Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) and Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Peking Union Medical College Hospital
Downloads 42 (914,592)

Abstract:

Loading...

Gitelman syndrome, rare disease, machine learning, screening model