Search alternatives:
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
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Raw data.
Published 2024“…Our new instruction and variables (Fz_VH, Fres_VH, M_F_ortho_VH) showed better validity (mean r = 0.77, r = 0.81, and r = 0.85) and equally good or better reliability (ICCs: 0.87, 0.89, and 0.94; CVs: 4.7%, 4.1%, and 4.7%) than the original instruction and variable (Fz_V) (mean r = 0.70; ICC: 0.91; CV: 5.6%). …”
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Data Sheet 1_Secretoneurin plasma levels are decreased after catheter ablation for atrial fibrillation—patients with AF produce lower SN levels than healthy individuals: the SAFE r...
Published 2025“…Background<p>Secretoneurin (SN) is a neuropeptide that counterbalances disorders of cell calcium cycling via calmodulin and thus may be involved in arrhythmogenesis. …”
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Paeameter ranges and optimal values.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Improved random forest algorithm.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Datasets used in the study area.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Evaluation of the improved random forest model.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Comparison of model metrics.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Flowchart of population spatialization.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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