Prediction of Neural Tube Defect Using Support Vector Machine

• 作 者: JIN-FENG WANG XIN LIU YI-LAN L
• 机 构: StatekeyLaboratoryofResourcesandEnvironmentalInformationSystem,InstituteforSustainableWater,CityUniv
• 出 处: 生物医学与环境科学：英文版
• 发表日期: 2010年3期
• 关键词: 支持向量机 预测精度 神经管缺陷 训练集 出生缺陷 SVM 数据集 测试集 NTD Prediction Small sample SVM
• 基金项目: This study was supported by CAS （KZCX2-YW-308）, the MOST （2007DFC20180, 2007AA12Z233）, and NSF （40471111, 70571076）.

<正>Objective To predict neural tube birth defect(NTD) using support vector machine(SVM).Method The dataset in the pilot area was divided into non overlaid training set and testing set.SVM was trained using the training set and the trained SVM was th