Utilizing machine learning to classify persistent organic pollutants in the serum of pregnant women: a predictive modeling approach - Mahfouz, Maya; Mahfouz, Yara; Harmouche-Karaki, Mireille; Matta, Joseph; Younes, Hassan; Helou, Khalil; Finan, Ramzi; Abi-Tayeh, Georges; Meslimani, Mohamad; Moussa, Ghada; Chahrour, Nada; Osseiran, Camille; et al. (Environmental science and pollution research international, 2024)
Keywords: Adult; Algorithms; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Biomonitoring; blood serum; Congeners; Dibenzofuran; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; environmental monitoring; Environmental Monitoring - methods; Female; Humans; Hydrocarbons, Chlorinated - blood; Impact analysis; Learning algorithms; Life Sciences; Machine Learning; Neural networks; Organic compounds; Organochlorine pesticides; PCB; Persistent organic pollutants; Persistent Organic Pollutants - blood; Pesticides - blood; Pollutants; Polychlorinated biphenyls; Polychlorinated Biphenyls - blood; polychlorinated dibenzodioxins; Polychlorinated dibenzofurans; prediction; Prediction models; Pregnancy; Pregnant Women; Research Article; Statistical analysis; Statistical models; Subpopulations; Support vector machines; Waste Water Technology; Water Management; Water Pollution Control; Pregnancy; Model performance; Environmental pollution; Prediction model; Discriminatory power; Sociodemographic criteria; Public health