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. 2023 Feb 20;14:1072273. doi: 10.3389/fphys.2023.1072273

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Copyright © 2023 Hu, Yin, Zhang, Menon, Fang, Chen, Elgendi and Liang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performance of LightGBM in the classification of hypertension. Radar plot illustrations the performance of base and optimization LightGBM model in (A) NT vs. PHT (B) NT vs. HT and (C) (NT + PHT) vs. HT. Note, NT, PHT, and HT refer to normotension, prehypertension, and hypertension, respectively. SP stands for specificity, SN stands for sensitivity, ACC stands for accuracy, PRE stands for precision, MCC stands for Matthew’s correlation coefficient, Kappa stands for Cohen’s kappa coefficient, AUC stands for Area under curve.