Pregled bibliografske jedinice broj: 1146896
Patterns of PCB-138 Occurrence in the Breast Milk of Primiparae and Multiparae Using SHapley Additive exPlanations Analysis
Patterns of PCB-138 Occurrence in the Breast Milk of Primiparae and Multiparae Using SHapley Additive exPlanations Analysis // Artificial Intelligence: Theory and Applications / Pap, Andre (ur.).
Cham: Springer, 2021. str. 191-206 doi:10.1007/978-3-030-72711-6_11
CROSBI ID: 1146896 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Patterns of PCB-138 Occurrence in the
Breast Milk of Primiparae and
Multiparae Using SHapley Additive
exPlanations Analysis
(Patterns of PCB-138 Occurrence in the Breast Milk
of Primiparae and Multiparae Using SHapley
Additive exPlanations Analysis)
Autori
Jovanović, Gordana ; Matek Sarić, Marijana ; Herceg Romanić, Snježana ; Stanišić, Svetlana ; Mitrović Dankulov, Marija ; Popović, Aleksandar ; Perišić, Mirjana
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Artificial Intelligence: Theory and Applications
Urednik/ci
Pap, Andre
Izdavač
Springer
Grad
Cham
Godina
2021
Raspon stranica
191-206
ISBN
978-3-030-72711-6
ISSN
1860-949X
Ključne riječi
Human biomonitoring · Persistent organic pollutants (POPs) · Organochlorine pesticides (OCPs) · Polychlorinated biphenyls (PCBs) · SHapley Additive exPlanations (SHAP)
Sažetak
Breastfeeding provides numerous health benefits for newborns by meeting infants’ nutritional needs and supporting associated immunological protection. Maternal milk is high in fat, and therefore, represents a very suitable medium for the bioaccumulation of lipophilic pollutants, such as organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs). This makes breast milk the infant’s primary source of postnatal exposure to persistent toxic xenobiotics. In this study, we applied a novel SHapley Additive exPlanations (SHAP) method to examine the key parameters that govern the 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 employed successfully, with a predicted/observed relative error below 20% and a high correlation coefficient (r = 0.97), for modeling the relationships between PCB-138 and other non-dioxin congeners, the mother’s age, and the number of births. According to the results, PCB-156, PCB-180, HCB, HCH and PCB-118 have a major impact, while PCB-28, PCB-52 and PCB-189 have a minor impact on PCB-138 distribution in breast milk. Similar contaminant behaviors, which belong to both the indicator congener group (−28, −52, −180) and the toxicologically relevant PCBs (−118, −189), were also noted. The SHAP conclusions were only partially consistent with the results of the correlation analysis suggesting that POPs exhibit non-linear dynamics and interrelations. Therefore, current knowledge on the contamination of complex biomatrices would benefit from further detailed analyses of pollutant intermittent relationships.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Interdisciplinarne prirodne znanosti
POVEZANOST RADA
Ustanove:
Institut za medicinska istraživanja i medicinu rada, Zagreb,
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