Correlation between drinking water fluoride and TSH hormone by ANNs and ANFIS
Autor: | Mohammad Hassan Ehrampoush, Reyhane Azizi, Masoud Mirzaei, Hossein Fallahzadeh, Zohreh Kheradpisheh, Mehdi Mokhtari, Amir Hossein Mahvi |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Environmental Engineering
Adaptive neural-fuzzy inference system (ANFIS) Health Toxicology and Mutagenesis Physiology 02 engineering and technology 010501 environmental sciences Thyroid Gland Disorder 01 natural sciences Applied Microbiology and Biotechnology Correlation chemistry.chemical_compound Thyroid-stimulating hormone 0202 electrical engineering electronic engineering information engineering Medicine Drinking water Water fluoride Fluoride Waste Management and Disposal 0105 earth and related environmental sciences Water Science and Technology Adaptive neuro fuzzy inference system business.industry Artificial neural networks (ANNS) Public Health Environmental and Occupational Health Pollution chemistry Thyroid hormones 020201 artificial intelligence & image processing Thyroid stimulating hormone (TSH) business Hormone Research Article |
Zdroj: | Journal of Environmental Health Science and Engineering |
ISSN: | 2052-336X |
Popis: | Background Artificial neural networks (ANNs) and adaptive neural-fuzzy Inference system (ANFIS) are the best solutions to finding the correlation between some water parameters and human hormones. The correlation between thyroid stimulating hormone (TSH) and drinking water fluoride studied by ANNS and ANFIS models in Yazd city. Method In this study, eighty people with thyroid gland disorder and 213 healthy people invited. Their thyroid hormones and fluoride drinking water analyzed. Results The result of ANFIS showed R2 = 0.81 for test and R2 = 0.85 for train in all cases and controls data. This results were R2 = 0.73 and R2 = 0.81 for ANNs respectively. Conclusion This models can be used as an alternative for show correlation between Drinking Water Fluoride and TSH Hormone and R2 = 0.85 gained from ANFIS was the best. |
Databáze: | OpenAIRE |
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