Abstract:
Breastfeeding provides numerous health benefits for newborns by meeting
the infantsʼ nutritional needs and supporting associated immunological protection.
Maternal milk is high in fat, and therefore, represents a very suitable
media for the bioaccumulation of lipophilic pollutants such as organochlorine
pesticides (OCPs) and polychlorinated biphenyls (PCBs). This makes breast
milk the primary source of the infant’s postnatal exposure to persistent toxic
xenobiotics. In this study, we applied a novel SHapley Additive exPlanations
(SHAP) method to investigate the key parameters that govern distribution
of PCB-138, an indicator of non-dioxin congeners, in the mother’s milk. According
to the accuracy metrics, the eXtreme Gradient Boosting regression
was successfully employed, with relative error below 20% and high correlation
coefficient (r=0.97), for finding the relationships between PCB-138 and
other non-dioxin congeners, mother’s age, and number of births. According
to the results, PCB-156, PCB-180, HCB, HCH and PCB-118 have the major,
while PCB-28, PCB-52 and PCB-189 have the minor impact on PCB-138
distribution in breast milk. Similar behavior of contaminants, which belong
to the both indicator congener group (−28, −52, −180) and toxicologically
relevant PCBs (−118, −189), was recognized. The SHAP conclusions were
only partially consistent with the results of correlation analysis suggesting
that POPs exhibit non-linear dynamics and interrelations. Therefore, the
current knowledge on contamination of complex biomatrices would benefit
from further detailed analyses of pollutant intermittent relationships.
CITATION:
IEEE format
A. Stojić, M. Matek Sarić, S. Herceg Romanić, “Shapley Additive Explanations of Indicator PCB-138 Distribution in Breast Milk,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 35-40. doi:10.15308/Sinteza-2020-35-40
APA format
Stojić, A., Matek Sarić, M., Herceg Romanić, S. (2020). Shapley Additive Explanations of Indicator PCB-138 Distribution in Breast Milk. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-35-40