Research on features selection of medical diagnostic models based on L-S-ACO algorithm.

iScience · 2026 · PMC12962155 · PMID 41797941

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failed to reach statistical significanceno p-value reported

RF-GDBT) failed to reach statistical significance, while all others demonstrated highly significant advantages ( p < 0.001).

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highly significantno p-value reported

Statistical tests further support the analysis of the above results: both LightGBM ( t = 5.565, p < 0.0001) and SAG ( t = 4.139, p = 0.0006) show highly significant contributions, and the performance improvement of the complete model is significantly greater than the sum of the individual component contributions.

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