Early Triage of Critically Ill Adult Patients With Mushroom Poisoning: Machine Learning Approach.

Yuxuan Liu,Xiaoguang Lyu,Bo Yang,Zhixiang Fang,Dejun Hu,Lei Shi,Bisheng Wu,Yong Tian,Enli Zhang,YuanChao Yang

JMIR formative research（2023）

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摘要

The 14-factor XGBoost model for the early triage of mushroom poisoning can rapidly and accurately identify critically ill patients and will possibly serve as an important basis for the selection of treatment options and referral of patients, potentially reducing patient mortality and improving clinical outcomes.

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关键词

XGBoost,extreme gradient boosting,machine learning,model,mushroom poisoning,triage

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