Frontmatter.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. i, doi. 10.1515/labmed-2024-frontmatter5
- Publication type:
- Article
Works matching IS 25679430 AND DT 2024 AND VI 48 AND IP 5
Results: 8
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2
At the crossroads between statistics and artificial intelligence: statistical learning in laboratory medicine.
- Published in:
- 2024
- By:
- Publication type:
- Editorial
3
How Gaussian mixture modelling can help to verify reference intervals from laboratory data with a high proportion of pathological values.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 251, doi. 10.1515/labmed-2024-0118
- By:
- Publication type:
- Article
4
Using machine learning techniques for exploration and classification of laboratory data.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 203, doi. 10.1515/labmed-2024-0100
- By:
- Publication type:
- Article
5
Automated sex and age partitioning for the estimation of reference intervals using a regression tree model.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 223, doi. 10.1515/labmed-2024-0083
- By:
- Publication type:
- Article
6
Direct, age- and gender-specific reference intervals: applying a modified M-estimator of the Yeo-Johnson transformation to clinical real-world data.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 239, doi. 10.1515/labmed-2024-0076
- By:
- Publication type:
- Article
7
Standardization with zlog values improves exploratory data analysis and machine learning for laboratory data.
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 215, doi. 10.1515/labmed-2024-0051
- By:
- Publication type:
- Article
8
Dear ChatGPT – can you teach me how to program an app for laboratory medicine?
- Published in:
- Journal of Laboratory Medicine, 2024, v. 48, n. 5, p. 197, doi. 10.1515/labmed-2024-0034
- By:
- Publication type:
- Article