Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater
Abstract
Studies have shown that excessive intake of fluoride into human body from drinking water may cause fluorosis adversely affects teeth and bones. Fluoride in water is mostly of geological origin and the amounts depend highly on many factors such as availabi
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9803https://doi.org/10.1007/s10653-021-01148-x
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