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. 2024 Sep 19;41(1):25–40. doi: 10.3233/CBM-240023

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© 2024 – The authors. Published by IOS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — Feature importance and correlation analysis. (A). Heatmap of feature importance based on the Boruta feature selection method (scores range from 1 to 35), performed five independent times through five random splits of the data. Showing the results for 37 cytokines, Gender, Age, PGI, PGII, and PGI/PGII ratio. The five cytokines with the highest ranking are displayed in bold. (B). Heatmap of absolute values of Pearson correlation coefficients of features among samples. The five selected features show low correlation with each other.