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Application of Boosting Classification and Regression to Modeling the Relationships Between Trace Elements and Diseases

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Abstract

The study on the relationship between trace elements and diseases often need to build a classification/regression model. Furthermore, the accuracy of such a model is of particular importance and directly decides its applicability. The goal of this study is to explore the feasibility of applying boosting, i.e., a new strategy from machine learning, to model the relationship between trace elements and diseases. Two examples are employed to illustrate the technique in the applications of classification and regression, respectively. The first example involves the diagnosis of anorexia according to the concentrations of six elements (i.e. classification task). Decision stump and support vector machine are used as the weak/base algorithm and reference algorithm, respectively. The second example involves the prediction of breast cancer mortality based on the intake of trace elements (i.e. a regression task). In this regard, partial least squares is not only used as the weak/base algorithm, but also the reference algorithm. The results from both examples confirm the potential of boosting in modeling the relationship between trace elements and diseases.

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Acknowledgements

This work was supported by Sichuan Province Science Foundation for Youths (09ZQ026-066) and Scientific Research Startup Fund for Doctor, Yibin University (2008B06).

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Authors and Affiliations

  1. Department of Chemistry and Chemical Engineering, Yibin University, Yibin, 644007, People’s Republic of China

    Chao Tan & Wanping Zhu

  2. Key Laboratory of Computational Physics, Yibin University, Yibin, 644007, People’s Republic of China

    Chao Tan

  3. Hospital, Yibin University, Yibin, 644007, People’s Republic of China

    Hui Chen

  4. Clinical College, North Sichuan Medical College, Nanchong, 637000, People’s Republic of China

    Hui Chen

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  1. Chao Tan
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  2. Hui Chen
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  3. Wanping Zhu
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Correspondence to Chao Tan.

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Tan, C., Chen, H. & Zhu, W. Application of Boosting Classification and Regression to Modeling the Relationships Between Trace Elements and Diseases. Biol Trace Elem Res 134, 146–159 (2010). https://doi.org/10.1007/s12011-009-8468-9

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  • DOI: https://doi.org/10.1007/s12011-009-8468-9

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