At the crossroads between statistics and artificial intelligence: statistical learning in laboratory medicine
Author:
Affiliation:
1. Trillium GmbH , Grafrath , Germany
2. Department of Biostatistics , Helmholtz Centre for Infection Research , Braunschweig , Germany
Publisher
Walter de Gruyter GmbH
Link
https://www.degruyter.com/document/doi/10.1515/labmed-2024-0129/pdf
Reference11 articles.
1. Hoffmann, G, Klawonn, F. Applied biostatistics in laboratory medicine. J Lab Med 2023;47:141–2. https://doi.org/10.1515/labmed-2023-0060.
2. Berns, F, Heilig, N, Stumpe, F, Kirchhoff, J. Medical operational AI: artificial intelligence in routine medical operations. J Lab Med 2023;47:171–9. https://doi.org/10.1515/labmed-2023-0011.
3. Witte, H, Blatter, T, Nagabhushana, P, Schär, D, Ackermann, J, Cadamuro, J, et al.. Statistical learning and big data applications. J Lab Med 2023;47:181–6. https://doi.org/10.1515/labmed-2023-0037.
4. Meyer, A, Ruthard, J, Streichert, T. Dear ChatGPT – can you teach me how to program an app for laboratory medicine? J Lab Med 2024 May 15. https://doi.org/10.1515/labmed-2024-0034 [Epub ahead of print].
5. Trulson, I, Holdenrieder, S, Hoffmann, G. Using machine learning techniques for exploration and classification of laboratory data. J Lab Med 2024. https://doi.org/10.1515/labmed-2024-0100 [Epub ahead of print].
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