Biomagnetic monitoring combined with support vector machine: a new opportunity for predicting particle-bound-heavy metals.

Dai, Qian'ying; Zhou, Mengfan; Li, Huiming; Qian, Xin; Yang, Meng; Li, Fengying

Dai, Qian'ying; Zhou, Mengfan; Li, Huiming; Qian, Xin; Yang, Meng; Li, Fengying.

Afiliación

Dai Q; State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
Zhou M; State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
Li H; School of Environment, Nanjing Normal University, Nanjing, 210023, China. valen222@126.com.
Qian X; State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China. xqian@nju.edu.cn.
Yang M; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China. xqian@nju.edu.cn.
Li F; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China.

Sci Rep ; 10(1): 8605, 2020 05 25.

Article en En | MEDLINE | ID: mdl-32451422

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article País de afiliación: China

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