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Predicting the need for medical care after toxin exposure using SHAP-interpretable gradient boosting
2026-01-22
toxicology
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AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSObjectiveC_ST_ABSExperts in poison control centers must accurately and efficiently assess the severity of an exposure, neither delaying care nor pointlessly sending patients to the hospital, using only the information given during a first phone call. To help healthcare professionals (HP) make these difficult decisions, we developed and evaluated a machine learning-based algorithm that predicts whether a patient should seek medical help or not, based solely on the ...
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