Pregled bibliografske jedinice broj: 1093779
SHAPLEY ADDITIVE EXPLANATIONS OF INDICATOR PCB-138 DISTRIBUTION IN BREAST MILK
SHAPLEY ADDITIVE EXPLANATIONS OF INDICATOR PCB-138 DISTRIBUTION IN BREAST MILK // Conference Proceedings of the International Scientific Conference on Information Technology and Data Related Research - Sinteza 2020 / Milovan Stanišić, PhD (ur.).
Beograd: Singidunum University, 2020. str. 35-40 doi:10.15308/Sinteza-2020-35-40 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
SHAPLEY ADDITIVE EXPLANATIONS OF INDICATOR
PCB-138 DISTRIBUTION IN BREAST MILK
Autori
Stojić, Andreja ; Matek Sarić, Marijana ; Herceg Romanić, Snježana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Conference Proceedings of the International Scientific Conference on Information Technology and Data Related Research - Sinteza 2020
/ Milovan Stanišić, PhD - Beograd : Singidunum University, 2020, 35-40
Skup
International Scientific Conference on Information Technology and Data Related Research (Sinteza 2020)
Mjesto i datum
Beograd, Srbija, 17.10.2020. - 17.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
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 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.
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita
POVEZANOST RADA
Ustanove:
Institut za medicinska istraživanja i medicinu rada, Zagreb,
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