The result indicated that support vector machine method has the obvious superiority in the forecast of breast cancer incidence rate based on gain quantity of trace element.
结果表明:在根据微量元素摄入量进行乳腺癌发病率预测方面,支持向量机方法有明显的优势。
In order to improve the diagnosis accuracy, machine learning method was proposed to construct the breast cancer diagnosis model.
为了提高胸癌诊断的识别精度,提出了应用机器学习方法建立胸癌诊断模型。
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