The significance of machine learning in neonatal screening for inherited metabolic diseases

• Autores principales: Xiangchun Yang (Autor), Shuxia Ding (Autor), Jianping Zhang (Autor), Zhuojie Hu (Autor), Danyan Zhuang (Autor), Fei Wang (Autor), Shanshan Wu (Autor), Changshui Chen (Autor), Haibo Li (Autor)
• Formato: Libro
• Publicado: Frontiers Media S.A., 2024-03-01T00:00:00Z.
• Materias: article
• Acceso en línea: Connect to this object online.

BackgroundNeonatal screening for inherited metabolic diseases (IMDs) has been revolutionized by tandem mass spectrometry (MS/MS). This study aimed to enhance neonatal screening for IMDs using machine learning (ML) techniques.MethodsThe study involved the analysis of a comprehensive dataset comprisin...