Volume 23 Issue 3
Jun.  2010
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JIN-FENG WANG, XIN LIU, YI-LAN LIAO, HONG-YAN CHEN, WAN-XIN LI, XIAO-YING ZHENG. Prediction of Neural Tube Defect Using Support Vector Machine[J]. Biomedical and Environmental Sciences, 2010, 23(3): 167-172.
Citation: JIN-FENG WANG, XIN LIU, YI-LAN LIAO, HONG-YAN CHEN, WAN-XIN LI, XIAO-YING ZHENG. Prediction of Neural Tube Defect Using Support Vector Machine[J]. Biomedical and Environmental Sciences, 2010, 23(3): 167-172.

Prediction of Neural Tube Defect Using Support Vector Machine

Funds:  CA S(KZCX2-YW-308)%the MOST(2007DFC20180%2007AA12Z233)%NSF(40471111%70571076)
  • 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 then used to predict the classification of NTD. Result NTD rate was predicted at village level in the pilot area.The accuracy of the prediction was 71.50% for the training dataset and 68.57% for the test dataset respectively. Conclusion Results from this study have shown that SVM is applicable to the prediction of NTD.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Prediction of Neural Tube Defect Using Support Vector Machine

Funds:  CA S(KZCX2-YW-308)%the MOST(2007DFC20180%2007AA12Z233)%NSF(40471111%70571076)

Abstract: 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 then used to predict the classification of NTD. Result NTD rate was predicted at village level in the pilot area.The accuracy of the prediction was 71.50% for the training dataset and 68.57% for the test dataset respectively. Conclusion Results from this study have shown that SVM is applicable to the prediction of NTD.

JIN-FENG WANG, XIN LIU, YI-LAN LIAO, HONG-YAN CHEN, WAN-XIN LI, XIAO-YING ZHENG. Prediction of Neural Tube Defect Using Support Vector Machine[J]. Biomedical and Environmental Sciences, 2010, 23(3): 167-172.
Citation: JIN-FENG WANG, XIN LIU, YI-LAN LIAO, HONG-YAN CHEN, WAN-XIN LI, XIAO-YING ZHENG. Prediction of Neural Tube Defect Using Support Vector Machine[J]. Biomedical and Environmental Sciences, 2010, 23(3): 167-172.

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