Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Information.

Bioengineering (Basel) · 2025 · PMC12109170 · PMID 40428087

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did not reach statistical significanceno p-value reported

Five algorithms (excluding XGB) exhibited higher AUC values in model II compared to model I, although this difference did not reach statistical significance.

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