Construction and Multi-center Validation of a Model Based on Blending Ensemble Learning for Predicting Stroke-Associated Pneumonia Following Acute Ischemic Stroke

Name: Construction and Multi-center Validation of a Model Based on Blending Ensemble Learning for Predicting Stroke-Associated Pneumonia Following Acute Ischemic Stroke
Creator: Xinying Liu
Published: 2026-04-21T14:15:43.674Z
Keywords: Stroke, Pneumonia, Blended Learning, Ischemic Stroke

Liu, Xinying; Yang, Shuo

doi:10.17632/mj66gj92zm.4

Construction and Multi-center Validation of a Model Based on Blending Ensemble Learning for Predicting Stroke-Associated Pneumonia Following Acute Ischemic Stroke

Published: 21 April 2026| Version 4 | DOI: 10.17632/mj66gj92zm.4

Contributors:

Xinying Liu, Shuo Yang

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To improve upon the limited accuracy and generalizability of current screening instruments, this study aimed to develop and validate a high-performance model utilizing Blending Ensemble Learning for early precision screening and risk stratification of SAP.

Construction and Multi-center Validation of a Model Based on Blending Ensemble Learning for Predicting Stroke-Associated Pneumonia Following Acute Ischemic Stroke

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