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作 者:Ting Xu Ming-sum Tsui Dah Ming Chiu
机构地区:[1]the Department of Information Engineering,Chinese University of Hong Kong,Hong Kong 999077,China [2]Felizberta Lo Padilla Tong School of Social Sciences,Caritas Institute of Higher Education,Hong Kong 999077,China [3]Department of Information Engineering,Chinese University of Hong Kong,and also with Data Science Research Center,Caritas Institute of Higher Education,Hong Kong 999077,China
出 处:《Journal of Social Computing》2022年第3期250-261,共12页社会计算(英文)
基 金:support of funding(No.UGC/IDS(R)11/21)from the Hong Kong SAR Government.
摘 要:In trying to explain why Hong Kong of China ranks highest in life expectancy in the world,we review what various experts are hypothesizing,and how data science methods may be used to provide more evidence-based conclusions.While more data become available,we find some data analysis studies were too simplistic,while others too overwhelming in answering this challenging question.We find the approach that analyzes life expectancy related data(mortality causes and rate for different cohorts)inspiring,and use this approach to study a carefully selected set of targets for comparison.In discussing the factors that matter,we argue that it is more reasonable to try to identify a set of factors that together explain the phenomenon.
关 键 词:life expectancy data science social science population
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