LIAO Yi Lan; WANG Jin Feng; WU Ji Lei; WANG Jiao Jiao; ZHENG XiaoYing

doi:10.3967/0895-3988.2012.05.011

doi: 10.3967/0895-3988.2012.05.011

基金项目: National Natural Science Foundation of China(41101431)%the fourth installment special funding of China Postdoctoral Science Foundation(201104003)%China Postdoctoral Science Foundation(20100470004)%the State Key Funds of Social Science Project(09&ZD072)

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

The State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Sciences and Nature Resources Research,Chinese academy of Sciences,Beijing 100101,China;Institute of Population Research,Peking University,Beijing 100871,China
The State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Sciences and Nature Resources Research,Chinese academy of Sciences,Beijing 100101,China
Institute of Population Research,Peking University,Beijing 100871,China
The State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Sciences and Nature Resources Research,Chinese academy of Sciences,Beijing 100101,China;College of Geoscience and Surveying Engineering,China University of Mining & Technology,Beijing 100083,China

Funds: National Natural Science Foundation of China(41101431)%the fourth installment special funding of China Postdoctoral Science Foundation(201104003)%China Postdoctoral Science Foundation(20100470004)%the State Key Funds of Social Science Project(09&ZD072)

摘要: Objective To develop a new technique for assessing the risk of birth defects, which are a major cause of infant mortality and disability in many parts of the world.Methods The region of interest in this study was Heshun County, the county in China with the highest rate of neural tube defects (NTDs). A hybrid particle swarm optimization/ant colony optimization (PSO/ACO) algorithm was used to quantify the probability of NTDs occurring at villages with no births.The hybrid PSO/ACO algorithm is a form of artificial intelligence adapted for hierarchical classification. It is a powerful technique for modeling complex problems involving impacts of causes.Results The algorithm was easy to apply, with the accuracy of the results being 69.5%±7.02% at the 95% confidence level.Conclusion The proposed method is simple to apply, has acceptable fault tolerance, and greatly enhances the accuracy of calculations.
- /
- /
- /
- /
Abstract: Objective To develop a new technique for assessing the risk of birth defects, which are a major cause of infant mortality and disability in many parts of the world.Methods The region of interest in this study was Heshun County, the county in China with the highest rate of neural tube defects (NTDs). A hybrid particle swarm optimization/ant colony optimization (PSO/ACO) algorithm was used to quantify the probability of NTDs occurring at villages with no births.The hybrid PSO/ACO algorithm is a form of artificial intelligence adapted for hierarchical classification. It is a powerful technique for modeling complex problems involving impacts of causes.Results The algorithm was easy to apply, with the accuracy of the results being 69.5%±7.02% at the 95% confidence level.Conclusion The proposed method is simple to apply, has acceptable fault tolerance, and greatly enhances the accuracy of calculations.
- Neural tube birth defects /
- GIS /
- PSO/ACO algorithm /
- Hierarchical classification /
- Risk map

[1]	LI Yang, WANG Qing Yao, TIAN Qing Hua, AN Qi, YANG Yu Tong, ZHANG Jia Chen, LI Shuang Jing, ZHOU Han, LIANG Yun Fen, SHEN Wei Tong, MU Li Na, LEI Li Jian. Prediction of Renal Function by Urinary Lead and Cadmium — Based on Classification Decision Tree and Logistic Regression Model . Biomedical and Environmental Sciences, 2024, 37(3): 331-335. doi: 10.3967/bes2024.037
[2]	ZHAO Qi, MAI Si Wei, LI Qian, HUANG Guan Chong, GAO Ming Chen, YANG Wen Li, WANG Ge, MA Ya, LI Lei, PENG Xiao Yan. Automated Classification of Inherited Retinal Diseases in Optical Coherence Tomography Images Using Few-shot Learning . Biomedical and Environmental Sciences, 2023, 36(5): 431-440. doi: 10.3967/bes2023.052
[3]	LIU Can, ZHOU Shi Hui, SU Hong, YANG Wen Qin, LU Jiao. An Artificial Neural Network Model Combined with Dietary Retinol Intake from Different Sources to Predict the Risk of Nonalcoholic Fatty Liver Disease . Biomedical and Environmental Sciences, 2023, 36(12): 1123-1135. doi: 10.3967/bes2023.120
[4]	WANG Shan, ZENG Yu Bing, PEI Pei, HE Xue Jia, LIU Fan, WANG Yi, ZHANG Ting. Characterization of CircRNA-Associated CeRNA Networks in Folate Deficiency-Induced Neural Tube Defects . Biomedical and Environmental Sciences, 2023, 36(9): 837-849. doi: 10.3967/bes2023.071
[5]	QIN Jia Bi, LUO Liu, SUN Meng Ting, HUANG Peng, WANG Ting Ting, ZHANG Sen Mao, LI Jin Qi, LI Yi Huan, CHEN Le Tao, DIAO Jing Yi, ZHU Ping. Association between Maternal Drug Use and Cytochrome P450 Genetic Polymorphisms and the Risk of Congenital Heart Defects in Offspring . Biomedical and Environmental Sciences, 2022, 35(1): 45-57. doi: 10.3967/bes2022.006
[6]	ZHANG Jun Xi, YANG Meng, JI Peng Hui, LI Qin Yang, CHAI Jian, SUN Pan Pan, YAN Xi, DONG Wei, SUN Ren Jie, WANG Yu Hong, YU Fang Fang, ZHANG Ya Wei, BA Yue, JIANG Li Fang, ZHOU Guo Yu. The Association between Outdoor Ambient Temperature and the Risk of Low Birth Weight: A Population-Based Cohort Study in Rural Henan, China . Biomedical and Environmental Sciences, 2021, 34(11): 905-909. doi: 10.3967/bes2021.124
[7]	LI Hui Hua, HUANG Shan, LIU Xing Zhen, ZOU Da Jin. Applying the China-PAR Risk Algorithm to Assess 10-year Atherosclerotic Cardiovascular Disease Risk in Populations Receiving Routine Physical Examinations in Eastern China . Biomedical and Environmental Sciences, 2019, 32(2): 87-95. doi: 10.3967/bes2019.014
[8]	LIN Hong, LUO Mi Yang, LUO Jia You, ZENG Rong, LI Ya Mei, DU Qi Yun, FANG Jun Qun. Demographic Characteristics and Environmental Risk Factors Exposure of Birth Defects in Pregnant Women: A Population-based Study . Biomedical and Environmental Sciences, 2019, 32(1): 51-57. doi: 10.3967/bes2019.008
[9]	YU Fang Fang, PING Zhi Guang, YAO Chong, WANG Zhi Wen, WANG FuQi, GUO Xiong. Evaluation of the Sensitivity and Specificity of the New Clinical Diagnostic and Classification Criteria for Kashin-Beck Disease, an Endemic Osteoarthritis, in China . Biomedical and Environmental Sciences, 2017, 30(2): 150-155. doi: 10.3967/bes2017.021
[10]	ZHOU Ping Ping, LIU Zhao Ping, ZHANG Lei, LIU Ai Dong, SONG Yan, YONG Ling, LI Ning. Methodology and Application for Health Risk Classification of Chemicals in Foods Based on Risk Matrix . Biomedical and Environmental Sciences, 2014, 27(11): 912-916. doi: 10.3967/bes2014.129
[11]	CHEN Li, CAO Dan, LI Lu Xi, ZHAO Yan, XIE Chang Ming, ZHANG Yun Hui. Assessment of Exposure to Polybrominated Dipheny Ethers via Inhalation and Diet in China . Biomedical and Environmental Sciences, 2014, 27(11): 872-882. doi: 10.3967/bes2014.124
[12]	HUANG Jing, WU JiLei, LI TieJun, SONG XinMing, ZHANG BingZi, ZHANG PingWen, ZHENG XiaoYing. Effect of Exposure to Trace Elements in the Soil on the Prevalence of Neural Tube Defects in a High-Risk Area of China . Biomedical and Environmental Sciences, 2011, 24(2): 94-101. doi: 10.3967/0895-3988.2011.02.002
[13]	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 . Biomedical and Environmental Sciences, 2010, 23(3): 167-172.
[14]	LI-JUN PEI, GONG CHEN, XIN-MING SONG, JI-LEI WU, CHENG-FU LI, JI-ZHEN ZOU, JIU-ZHI LIN, TING ZHANG, XIAO-YING ZHENG. Effect of Pathoanatomic Diagnosis on the Quality of Birth Defects Surveillance in China1 . Biomedical and Environmental Sciences, 2009, 22(6): 464-471.
[15]	GONG CHEN, LI-JUN PEI, JIAN HUANG, XIN-MING SONG, LIANG-MING LIN, XUE GU, JIAN-XINWU, FANG WANG, JI-LEI WU, JIA-PENG CHEN, JU-FEN LIU, RUO-LEI XIN, TING ZHANG, XIAO-YING ZHENG. Unusual Patterns of Neural Tube Defects in a High Risk Region of Northern China . Biomedical and Environmental Sciences, 2009, 22(4): 340-344.
[16]	BAO-YUAN ZHANG, TING ZHANG, LIANG-MING LIN, FANG WANG, RUO-LEI XIN, XUE GU, YU-NA HE, DONG-MEI YU, PEI-ZHEN LI, QING-SHAN ZHANG, JIN ZHAO, YU-FU QIN, XIU-FENG YANG, GONG CHEN, JU-FEN LIU, XIN-MING SONG, XIAO-YING ZHENG. Correlation Between Birth Defects and Dietary Nutrition Status in a High Incidence Area of China1 . Biomedical and Environmental Sciences, 2008, 21(1): 37-44.
[17]	JI-LEI WU, GONG CHEN, XIN-MING SONG, CHENG-FU LI, LEI ZHANG, LAN LIU, XIAO-YING ZHENG. Spatiotemporal Property Analysis of Birth Defects in Wuxi, China . Biomedical and Environmental Sciences, 2008, 21(5): 432-437.
[18]	GUAN-SHENG MA, YAN-PING LI, XIAO-QI HU, ZHAO-HUI CUI, XIAO-GUANG YANG, CHUN-MING CHEN. Report on Childhood Obesity in China (2)Verification of BMI Classification Reference for Overweight and Obesity in Chinese Children and Adolescents . Biomedical and Environmental Sciences, 2006, 19(1): 1-7.
[19]	JIAN-PING WANG, XI-KUN GUO. Study on the Total Amount Control of Atmospheric Pollutant Based on GIS . Biomedical and Environmental Sciences, 2005, 18(4): 233-237.
[20]	Xiao-ying ZHENG, Ting ZHANG, Yi-Fei WANG, CHEN XU, GONG Chen, RUOLEI XIN, JIA-PENG CHEN, XU-MEI HU, QING YANG, XIN-MING SONG, LI-HUA PANG, YING JI, HONG-MEI SUN, LEI ZHANG, JU-FEN LIU, YAN-LING GUO, YAN ZHANG. Intrauterine Infections and Birth Defects . Biomedical and Environmental Sciences, 2004, 17(4): 476-491.

点击查看大图

计量

文章访问数: 1128
HTML全文浏览量: 292
PDF下载量: 23
被引次数: 0

doi: 10.3967/0895-3988.2012.05.011

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

计量

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

doi: 10.3967/0895-3988.2012.05.011

English Abstract

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

全文HTML

目录

doi: 10.3967/0895-3988.2012.05.011

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

计量

出版历程

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

doi: 10.3967/0895-3988.2012.05.011

English Abstract

PSO/ACO Algorithm-based Risk Assessment of Human Neural Tube Defects in Heshun County, China

全文HTML

目录