Understanding multi-pollutant toxicity with machine learning (IMAGE)

Pusan National University

Understanding multi-pollutant toxicity with machine learning

Caption

The novel FLIT-SHAP approach can help reveal hidden interactions between pollutants, showing both synergistic and antagonistic effects on toxicity with an R² of 0.99.

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Professor Kuk Cho from Pusan National University, Korea

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