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

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.