Application of Monte Carlo simulation and artificial neural network model to probabilistic health risk assessment in fluoride-endemic areas

Application of Monte Carlo simulation and artificial neural network model to probabilistic health risk assessment in fluoride-endemic areas

Groundwater contamination with fluoride is a considerable public health concern that affects millions of people worldwide. The rapid growth of urbanization has led to increase in groundwater contamination. The health risk assessment focuses on both acute and chronic health consequences as it investi...

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Bibliographic Details
Main Authors: Raisul Islam, Alok Sinha, Athar Hussain, Mohammad Usama, Shahjad Ali, Salman Ahmed, Abdul Gani, Najmaldin Ezaldin Hassan, Ali Akbar Mohammadi, Kamlesh Deshmukh
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Artificial neuro network
Monte Carlo simulation
Probabilistic health risk assessment
Fluorosis
Kasganj area
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024169186
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