Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review

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SEEK ID: https://publications.h-its.org/publications/1620

SEEK ID: https://publications.h-its.org/publications/1620

DOI: 10.1002/jmd2.12285

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: JIMD Reports

Citation: JIMD Reports 63(3):250-261

Date Published: 1st May 2022

Registered Mode: by DOI

Authors: Elaine Zaunseder, Saskia Haupt, Ulrike Mütze, Sven F. Garbade, Stefan Kölker, Vincent Heuveline

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Zaunseder, E., Haupt, S., Mütze, U., Garbade, S. F., Kölker, S., & Heuveline, V. (2022). Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review. In JIMD Reports (Vol. 63, Issue 3, pp. 250–261). Wiley. https://doi.org/10.1002/jmd2.12285
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Created: 15th Feb 2023 at 14:25

Last updated: 5th Mar 2024 at 21:25

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