Image 2_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.png

Image 2_Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.png

Background<p>Hymenopteran stings (from bees, wasps, and hornets) can trigger severe systemic reactions, especially in tropical regions, risking patient safety and emergency care efficiency. Accurate early risk stratification is essential to guide timely intervention.</p>Objective<p>...

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Bibliographic Details
Main Author: Feng Han (10919) (author)
Other Authors: Yuanshui Liu (22509527) (author), Huamei Li (8815955) (author), Xiaofang Chen (256976) (author), Liqiu Liang (22509530) (author), Dongchuan Xu (8717298) (author), Lijiao Ye (22509533) (author), Yanhong Ouyang (11792953) (author), Ping He (33281) (author), Wang Liao (2061721) (author)
Published: 2025
Subjects:
Public Health and Health Services not elsewhere classified
hymenopteran stings
machine learning
risk stratification
emergency triage
model interpretability
epidemiology
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