Comments on “Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain”

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Bibliographische Detailangaben
Veröffentlicht in:	Environmental science and pollution research international 2024-10, Vol.31 (50), p.60702-60703
Hauptverfasser:	Yavuz, Cavit Işık, Sarı, Özge Yavuz
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Letter to the Editor Machine learning Medical wastes Waste Water Technology Water Management Water Pollution Control
Online-Zugang:	Volltext
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