| 基于元素摄入量的乳腺癌死亡率集成预测模型 |
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| 引用本文： | 陈慧,谭超. 基于元素摄入量的乳腺癌死亡率集成预测模型[J]. 微量元素与健康研究, 2013, 30(2): 15-16,18 |
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| 作者姓名： | 陈慧 谭超 |
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| 作者单位： | 1. 宜宾学院医院 四川宜宾 644007
2. 宜宾学院化学与化工学院 四川宜宾 644007 |
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| 基金项目： | 宜宾学院青年基金项目(No:2010Q11);宜宾学院科研与教学创新团队资助计划(Cx201104) |
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| 摘 要： | 目的:构建乳腺癌死亡率预测模型。方法:基于硒、铜、锌、镉、铬、锰和砷7种元素日常摄入量和自适应增强算偏最小二乘法,建立预测乳腺癌死亡率的集成模型,并对其性能进行评价。结果:集成模型的预测精度明显优于单个偏最小二乘模型。结论:自适应增强策略在该类任务中是一个有力工具。
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| 关 键 词： | 微量元素 乳腺癌 死亡率 预测模型 |
An Ensemble Model for Predicting the Mortality of Breast Cancer Based on the Intake of Some Elements |
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| CHEN Hui,TAN Chao. An Ensemble Model for Predicting the Mortality of Breast Cancer Based on the Intake of Some Elements[J]. Studies of Trace Elements and Health, 2013, 30(2): 15-16,18 |
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| Authors: | CHEN Hui TAN Chao |
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| Affiliation: | 1.Hospital,Yibin University;2.Dept.of Chemistry and Chemical Engineering,Yibin University:Yibin Sichuan 644007,China) |
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| Abstract: | Objective: To construct a model for predicting the mortality of breast cancer.Methods: Based on the combination of intake levels of several elements(Se,Cu,Zn,Cd,Cr,Mn and As) and adaptive boosting partial least squares,an ensemble model is built for predicting breast cancer mortality and its performance is also evaluated.Results: the ensemble model outperforms the single model of partial least squares.Conclusion: adaptive boosting strategy is a powerful tool in such a task. |
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| Keywords: | Trace elements Breast cancer Mortality Prediction model |
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