Machine-learning-assisted Investigation into the Relationship between the Built Environment,Behavior,and Physical Health of the Elderly in China  

作　　者：WANG Xiao Ping LI Ze Yan ZHANG Meng LIU Hong Yong 

机构地区：[1]School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,Sichuan,China [2]Jinan University-University of Birmingham Joint Institute,Jinan University,Guangzhou 511443,Guangdong,China [3]School of Civil Engineering,Hebei University of Engineering,Handan 056038,Hebei,China

出　　处：《Biomedical and Environmental Sciences》2023年第10期987-990,共4页生物医学与环境科学（英文版）

基　　金：support by Chengdu Green and Low-carbon Development Research Base[No.LD23YB05]

摘　　要：Due to an increasing life expectancy and decreasing fertility rate,China officially entered a stage of increased ageing in 2011[1].According to China’s seventh national census,2019,the country’s overall population was 1.44 billion,and this included eighteen per cent of people over 60(13.5%of people exceeding 65 years old).

关 键 词：EXCEEDING learning FERTILITY 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] R161.7[自动化与计算机技术—控制科学与工程]