Prediction of Neural Tube Defect Using Support Vector Machine-Reference-Cited by-同舟云学术

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Prediction of Neural Tube Defect Using Support Vector Machine

Published:2010-06 Issue:3 Volume:23 Page:167-172
ISSN:0895-3988
Container-title:Biomedical and Environmental Sciences
language:en
Short-container-title:Biomedical and Environmental Sciences

Author:

WANG Jin-Feng,LIU Xin,LIAO Yi-Lan,ZHENG Xiao-Ying,CHEN Hong-Yan,LI Wan-Xin

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference15 articles.

1. The global challenges of birth defects and disabilities;Carmona;Lancet,2005

2. Spatial Sampling Design and Statistical Inference;Wang,2009

3. Exploratory spatial analysis of birth defect rates in an urban population;Rushton;Stat Med,1996

4. Spatiotemporal property analysis of birth fefects in Wuxi, China;Wu;Biomedi Environ Sci,2008

5. Spatial exploratory data analysis of birth defect risk factors' identification;Wu;BMC Public Health,2004

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1. Development of Hidden Markov Model to Predict Birth Defects: A Longitudinal Data Study;2024

2. Risk Assessment for Birth Defects in Offspring of Chinese Pregnant Women;International Journal of Environmental Research and Public Health;2022-07-14

3. Complement factors and alpha‐fetoprotein as biomarkers for noninvasive prenatal diagnosis of neural tube defects;Annals of the New York Academy of Sciences;2020-08-05

4. Predicting congenital heart defects: A comparison of three data mining methods;PLOS ONE;2017-05-24

5. Overview of Predictive Modeling Approaches in Health Care Data Mining;Business Intelligence;2016

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