基于神经网络的脑卒中风险预测模型研究 *
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吴菊华,张烁,陶雷,姜顺军
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Predicting Stroke Risks with Neural Network
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Juhua Wu,Shuo Zhang,Lei Tao,Shunjun Jiang
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表3 定性变量的描述统计信息
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变量 | 类别 | 非卒中数量 | 非卒中比列 | 卒中数量 | 卒中比列 | Gender | 男性 | 1 567 | 50.53% | 1 534 | 49.47% | 女性 | 1 489 | 63.33% | 862 | 36.67% | Age | 18-44岁 | 1 116 | 95.71% | 50 | 4.29% | 45-59岁 | 970 | 71.17% | 393 | 28.83% | 60-74岁 | 626 | 38.33% | 1 007 | 61.67% | ≥75岁 | 344 | 26.67% | 946 | 73.33% | Hype | 是 | 480 | 21.79% | 1 723 | 78.21% | 否 | 2 576 | 79.29% | 673 | 20.71% | Diabetes | 是 | 161 | 19.54% | 663 | 80.46% | 否 | 2 895 | 62.55% | 1 733 | 37.45% | HS | 是 | 13 | 0.62% | 2 099 | 99.38% | 否 | 3 046 | 91.20% | 294 | 8.80% | HSO | 是 | 0 | 0% | 830 | 100.00% | 否 | 4 622 | 100% | 0 | 0% |
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