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首页> 外文期刊>The journals of gerontology.Series A. Biological sciences and medical sciences >How long will my mouse live? Machine learning approaches for prediction of mouse life span.
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How long will my mouse live? Machine learning approaches for prediction of mouse life span.

机译：我的鼠标能活多久？预测鼠标寿命的机器学习方法。

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摘要

Prediction of individual life span based on characteristics evaluated at middle-age represents a challenging objective for aging research. In this study, we used machine learning algorithms to construct models that predict life span in a stock of genetically heterogeneous mice. Life-span prediction accuracy of 22 algorithms was evaluated using a cross-validation approach, in which models were trained and tested with distinct subsets of data. Using a combination of body weight and T-cell subset measures evaluated before 2 years of age, we show that the life-span quartile to which an individual mouse belongs can be predicted with an accuracy of 35.3% (+/-0.10%). This result provides a new benchmark for the development of life-span-predictive models, but improvement can be expected through identification of new predictor variables and development of computational approaches. Future work in this direction can provide tools for aging research and will shed light on associations between phenotypic traits and longevity.
机译：基于中年评估的特征来预测个体寿命是老化研究的一个挑战性目标。在这项研究中，我们使用机器学习算法来构建模型，这些模型可以预测遗传异质小鼠的寿命。使用交叉验证方法评估了22种算法的寿命预测准确性，其中使用不同的数据子集训练和测试模型。通过结合使用体重和2岁前评估的T细胞亚群指标，我们表明，可以预测单个小鼠所属的寿命四分位数的准确度为35.3％（+/- 0.10％）。该结果为寿命预测模型的开发提供了新的基准，但是可以通过识别新的预测变量和开发计算方法来期待改善。朝着这个方向的未来工作将为老化研究提供工具，并将阐明表型性状与寿命之间的联系。

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