Application of the Artificial Intelligence Algorithm Model for Screening of Inborn Errors of Metabolism

• Main Authors: Muping Zhou (Author), Liyuan Deng (Author), Yan Huang (Author), Ying Xiao (Author), Jun Wen (Author), Na Liu (Author), Yingchao Zeng (Author), Hua Zhang (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Inborn errors of metabolism (IEMs) are strongly related to abnormal growth and development in newborns and can even result in death. In total, 94,648 newborns were enrolled for expanded newborn screening using tandem mass spectrometry (MS/MS) from 2016 to 2020 at the Neonatal Disease Screening Cente...