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。
Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).
目的探讨支持向量机(SVM)在肾综合征出血热(HFRS)发病率预测上的优势及应用前景。
Objective To study the superiority and application prospect of support vector machine(SVM) on the forecast of the incidence of hemorrhagic fever with renal syndrome(HFRS).
目的探讨支持向量机(SVM)在肾综合征出血热(HFRS)发病率预测上的优势及应用前景。
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