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...

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Detalles Bibliográficos
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:
Research Reports
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

Internet

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

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