A study authored by Zhang W, scheduled for publication in Environmental Research, examines the cardiovascular risks associated with plastic-related chemicals. The investigation incorporates mixture modeling alongside SHAP-explained machine learning techniques to evaluate both linear and non-linear associations.
According to Environmental Research, this methodology aims to clarify how complex chemical exposures relate to cardiovascular health outcomes. The integration of advanced machine learning helps unravel intricate risk patterns tied to these environmental factors.