Construction and validation of a machine learning-based model for predicting pneumonia risk in patients with hemorrhagic stroke
A logistic regression-based predictive model for pneumonia risk in patients with hemorrhagic stroke provides an objective, quantitative basis for early identification of high-risk patients, stratified management, and precise prevention and control, supporting a shift from reactive to proactive complication management.