This study aimed to establish an efficient toxicology screening model for application in hazardous waste risk assessment.The model combined various biological and chemical information to identify potential toxic substances and their mechanisms of action using machine learning methods.We validated the accuracy and reliability of the model and applied it to toxicological assessments of hazardous waste.Results indicate that the model has high predictive capability in identifying potential toxic substances in hazardous waste,providing strong support for risk assessment.
万方数据