Evaluating and Refining PCB Mixture Indicators in Marine Fish Through Explainable Artificial Intelligence

Polychlorinated biphenyls (PCBs) remain a major concern in marine ecosystems, where bioaccumulation in fish occurs as complex congener mixtures whose dynamics challenge conventional indicator approaches. This study develops and evaluates a data-driven framework for refining mixture-based indicators...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Vojin Ćućuz, Gordana Jovanović, Timea Bezdan, Snježana Herceg Romanić, Bosiljka Mustać, Andreja Stojić, Mirjana Perišić
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-05-01
סדרה:	Toxics
נושאים:	marine fish polychlorinated biphenyls (PCBs) indicator mixtures exposure profiling explainable artificial intelligence Shapley additive explanations
גישה מקוונת:	https://www.mdpi.com/2305-6304/14/5/393
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!