Cargando…
Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review
The development and continuous optimization of newborn screening (NBS) programs remains an important and challenging task due to the low prevalence of screened diseases and high sensitivity requirements for screening methods. Recently, different machine learning (ML) methods have been applied to sup...
Autores principales: | Zaunseder, Elaine, Haupt, Saskia, Mütze, Ulrike, Garbade, Sven F., Kölker, Stefan, Heuveline, Vincent |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995842/ https://www.ncbi.nlm.nih.gov/pubmed/35433168 http://dx.doi.org/10.1002/jmd2.12285 |
Ejemplares similares
-
Machine Learning Methods Improve Specificity in Newborn Screening for Isovaleric Aciduria
por: Zaunseder, Elaine, et al.
Publicado: (2023) -
Maternal Vitamin B(12) Deficiency Detected by Newborn Screening—Evaluation of Causes and Characteristics
por: Reischl-Hajiabadi, Anna T., et al.
Publicado: (2022) -
Sudden neonatal death in individuals with medium-chain acyl-coenzyme A dehydrogenase deficiency: limit of newborn screening
por: Mütze, Ulrike, et al.
Publicado: (2022) -
Combined Newborn Screening Allows Comprehensive Identification also of Attenuated Phenotypes for Methylmalonic Acidurias and Homocystinuria
por: Schnabel, Elena, et al.
Publicado: (2023) -
Impact of newborn screening and quality of therapy on the neurological outcome in glutaric aciduria type 1: a meta-analysis
por: Boy, Nikolas, et al.
Publicado: (2020)