Data on estimation for sodium absorption ratio: Using artificial neural network and multiple linear regressions.

Radfard, Majid; Soleimani, Hamed; Nabavi, Samira; Hashemzadeh, Bayram; Akbari, Hesam; Akbari, Hamed; Adibzadeh, Amir

Radfard, Majid; Soleimani, Hamed; Nabavi, Samira; Hashemzadeh, Bayram; Akbari, Hesam; Akbari, Hamed; Adibzadeh, Amir.

Afiliação

Radfard M; Research Center for Health Sciences, Institute of Health, Department of Environmental Health, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Soleimani H; Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Nabavi S; Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hashemzadeh B; Department of Environmental Health, School of Public Health, Khoy University of Medical Sciences, Khoy, Iran.
Akbari H; Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Akbari H; Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Adibzadeh A; Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Data Brief ; 20: 1462-1467, 2018 Oct.

Article em En | MEDLINE | ID: mdl-30258950

Palavras-chave

Aras; Groundwater quality; Multiple linear regression; Neural network; SAR

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Irã

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