Spatial distribution of esophageal cancer mortality in China: a machine learning approach

doi:10.1093/inthealth/ihaa022

	Spatial distribution of esophageal cancer mortality in China: a machine learning approach
	Liao, Yilan 1; Li, Chunlin 1,3; Xia, Changfa 2; Zheng, Rongshou 2; Xu, Bing 1,3; Zeng, Hongmei 2; Zhang, Siwei 2; Wang, Jinfeng 1; Chen, Wanqing 2
刊名	INTERNATIONAL HEALTH
	2021
卷号	13 期号:1 页码:70-79
关键词	cancer mapping esophageal cancer genetic programming prevention and control spatial distribution
ISSN号	1876-3413
DOI	10.1093/inthealth/ihaa022
通讯作者	Liao, Yilan(liaoyl@lreis.ac.cn)
英文摘要	Background: Esophageal cancer (EC) is one of the most common cancers, causing many people to die every year worldwide. Accurate estimations of the spatial distribution of EC are essential for effective cancer prevention. Methods: EC mortality surveillance data covering 964 surveyed counties in China in 2014 and three classes of auxiliary data, including physical condition, living habits and living environment data, were collected. Genetic programming (GP), a hierarchical Bayesian model and sandwich estimation were used to estimate the spatial distribution of female EC mortality. Finally, we evaluated the accuracy of the three mapping methods. Results: The results show that compared with the root square mean error (RMSE) of the hierarchical Bayesian model at 6.546 and the sandwich estimation at 7.611, the RMSE of GP is the lowest at 5.894. According to the distribution estimated by GP, themortality of female EC was low in some regions of Northeast China, Northwest China and southern China; in some regions downstream of the Yellow River Basin, north of the Yangtze River in the Yangtze River Basin and in Southwest China, the mortality rate was relatively high. Conclusions: This paper provides an accurate map of female ECmortality in China. A series of targeted preventive measures can be proposed based on the spatial disparities displayed on the map.
资助项目	National Key R&D Program of China[2016YFC1302504] ; National Natural Science Foundation of China[41471377] ; National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41421001] ; Program Grant in Fundamental Research from the Ministry of Science and Technology[2014FY121100]
WOS研究方向	Public, Environmental & Occupational Health
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000645450400010
资助机构	National Key R&D Program of China ; National Natural Science Foundation of China ; Program Grant in Fundamental Research from the Ministry of Science and Technology
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161702]
专题	中国科学院地理科学与资源研究所
通讯作者	Liao, Yilan
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 10010, Peoples R China 2.Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Off Canc Prevent & Control, Canc Hosp, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Liao, Yilan,Li, Chunlin,Xia, Changfa,et al. Spatial distribution of esophageal cancer mortality in China: a machine learning approach[J]. INTERNATIONAL HEALTH,2021,13(1):70-79.
APA	Liao, Yilan.,Li, Chunlin.,Xia, Changfa.,Zheng, Rongshou.,Xu, Bing.,...&Chen, Wanqing.(2021).Spatial distribution of esophageal cancer mortality in China: a machine learning approach.INTERNATIONAL HEALTH,13(1),70-79.
MLA	Liao, Yilan,et al."Spatial distribution of esophageal cancer mortality in China: a machine learning approach".INTERNATIONAL HEALTH 13.1(2021):70-79.