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Assessment of metal ion concentration in water with structured feature selection.
Naula, Pekka; Airola, Antti; Pihlasalo, Sari; Montoya Perez, Ileana; Salakoski, Tapio; Pahikkala, Tapio.
Afiliación
  • Naula P; Department of Future Technologies, 20014, University of Turku, Finland. Electronic address: pekka.naula@utu.fi.
  • Airola A; Department of Future Technologies, 20014, University of Turku, Finland. Electronic address: antti.airola@utu.fi.
  • Pihlasalo S; Laboratory of Materials Chemistry and Chemical Analysis, Department of Chemistry, 20014, University of Turku, Finland. Electronic address: saanpi@utu.fi.
  • Montoya Perez I; Department of Future Technologies, 20014, University of Turku, Finland. Electronic address: iimope@utu.fi.
  • Salakoski T; Department of Future Technologies, 20014, University of Turku, Finland. Electronic address: tapio.salakoski@utu.fi.
  • Pahikkala T; Department of Future Technologies, 20014, University of Turku, Finland. Electronic address: tapio.pahikkala@utu.fi.
Chemosphere ; 185: 1063-1071, 2017 Oct.
Article en En | MEDLINE | ID: mdl-28764102
We propose a cost-effective system for the determination of metal ion concentration in water, addressing a central issue in water resources management. The system combines novel luminometric label array technology with a machine learning algorithm that selects a minimal number of array reagents (modulators) and liquid sample dilutions, such that enable accurate quantification. The algorithm is able to identify the optimal modulators and sample dilutions leading to cost reductions since less manual labour and resources are needed. Inferring the ion detector involves a unique type of a structured feature selection problem, which we formalize in this paper. We propose a novel Cartesian greedy forward feature selection algorithm for solving the problem. The novel algorithm was evaluated in the concentration assessment of five metal ions and the performance was compared to two known feature selection approaches. The results demonstrate that the proposed system can assist in lowering the costs with minimal loss in accuracy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Metales / Modelos Químicos Idioma: En Revista: Chemosphere Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Metales / Modelos Químicos Idioma: En Revista: Chemosphere Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido