首页 > 资讯 > 中国老年人健康状态转移概率估计——基于两个数据库的比较分析

中国老年人健康状态转移概率估计——基于两个数据库的比较分析

参考文献

[1] 韩京清. 中国人口年龄结构变化及其对社会经济的影响[J]. 系统工程理论与实践, 1999, 19(12):128-131. Han J Q. On age structure evolution of Chinese population ant its effect on social economics[J]. Systems Engineering-Theory & Practice, 1999, 19(12):128-131.
[2] 浦科学. 健康投资、储蓄与死亡风险[J]. 系统科学与数学, 2016, 36(2):225-232. Bu K X. Health investment, saving and death risk[J]. Journal of Systems Science and Mathematical Sciences, 2016, 36(2):225-232.
[3] 杨欣潼, 张婷, 白丽平, 等. 社区居家养老服务的预约调度与路径规划问题研究:基于改善蚁群算法[J]. 系统工程理论与实践, 2019, 39(5):1212-1224. Yang X T, Zhang T, Bai L P, et al. Appointment scheduling and routing problem of community-home-health-care:Based on modified ant-colony algorithm[J]. Systems Engineering-Theory & Practice, 2019, 39(5):1212-1224.
[4] 黄枫, 吴纯杰. 基于转移概率模型的老年人长期护理需求预测分析[J]. 经济研究, 2012(S2):119-130. Huang F, Wu C J. A study of long-term-care demand of the elderly in China:Based on multistatus transition model[J]. Economic Research Journal, 2012(S2):119-130.
[5] Hanewald K, Li H, Shao A W. Modelling multi-state health transitions in China:A generalised linear model with time trends[J]. Annals of Actuarial Science, 2019, 13(1):145-165.
[6] 胡晓宁, 陈秉正, 祝伟. 基于家庭微观数据的长期护理保险定价[J]. 保险研究, 2016(4):57-67. Hu X N, Chen B Z, Zhu W. Long-term care insurance pricing on the basis of household survey data[J]. Insurance Studies, 2016(4):57-67.
[7] 王新军, 王佳宇. 基于Markov模型的长期护理保险定价[J]. 保险研究, 2018(10):87-99. Wang X J, Wang J Y. Long term care insurance pricing based on the Markov model[J]. Insurance Studies, 2018(10):87-99.
[8] 左美云, 刘勍勍, 刘方. 老年人信息需求模型的构建与应用[J]. 管理评论, 2009, 21(10):70-77. Zuo M Y, Liu Q Q, Liu F. Study on the model of the elderly's information needs:Design and application[J]. Management Review, 2009, 21(10):70-77.
[9] 贾忠伟, 陆祖宏, 范文勇, 等. 基于互联网+和人工智能技术的吸毒人员公共卫生管理模式研究[J]. 系统科学与数学, 2019, 39(4):522-533. Jia Z W, Lu Z H, Fan W Y, et al. Investigation on public health management model of drug users based on internet+ and artificial intelligence technology[J]. Journal of Systems Science and Mathematical Sciences, 2019, 39(4):522-533.
[10] 张国兴, 张振华, 高杨, 等. 环境规制政策与公共健康——基于环境污染的中介效应检验[J]. 系统工程理论与实践, 2018, 38(2):361-373. Zhang G X, Zhang Z H, Gao Y, et al. Environmental regulation policies and public health:Based on the mediating effect test of environmental pollution[J]. Systems Engineering-Theory & Practice, 2018, 38(2):361-373.
[11] 郑毅, 胡祥培, 尹进. 基于多任务支持向量机的健康数据融合方法[J]. 系统工程理论与实践, 2019, 39(2):418-428. Zheng Y, Hu X P, Yin J. Health data fusion method based on multi-task support vector machine[J]. Systems Engineering-Theory & Practice, 2019, 39(2):418-428.
[12] 郭鑫鑫, 王海燕. 大数据背景下基于数据众包的健康数据共享平台商业模式构建[J]. 管理评论, 2019, 31(7):56-64. Guo X X, Wang H Y. Business model of health data sharing platform based on data crowdsourcing in the context of big data[J]. Management Review, 2019, 31(7):56-64.
[13] Zeng Y, Vaupel J, Xiao Z, et al. The healthy longevity survey and the active life expectancy of the oldest old in China[J]. Population:An English Selection, 2001, 13(1):95-116.
[14] Zeng Y. Toward deeper research and better policy for healthy aging-using the unique data of Chinese longitudinal healthy longevity survey[J]. China Economic Journal, 2012, 5(2-3):131-149.
[15] Zhang C, Lei X, Strauss J, et al. Health insurance and health care among the mid-aged and older Chinese:Evidence from the national baseline survey of CHARLS[J]. Health Economics, 2017, 26(4):431-449.
[16] 王吉元, 汪寿阳, 胡毅. 户籍制度对中国城乡居民养老方式选择影响——基于Mixed-Logit模型[J]. 管理评论, 2019, 31(1):3-14. Wang J Y, Wang S Y, Hu Y. Impact of registered household domicile on Chinese residents' choice of financial sources for their elderly life-Based on Mixed-Logit models[J]. Management Review, 2019, 31(1):3-14.
[17] Pritchard D J. Modeling disability in long-term care insurance[J]. North American Actuarial Journal, 2006, 10(4):48-75.
[18] Ameriks J, Caplin A, Laufer S, et al. The joy of giving or assisted living? Using strategic surveys to separate public care aversion from bequest motives[J]. Journal of Finance, 2011, 66(2):519-561.
[19] Fong J H, Shao A W, Sherris M. Multistate actuarial models of functional disability[J]. North American Actuarial Journal, 2015, 19(1):41-59.
[20] Ai J, Brockett P L, Golden L L, et al. Health state transitions and longevity effects on retirees' optimal annuitization[J]. The Journal of Risk and Insurance, 2017, 84(Suppl):319-343.
[21] 葛浩, 李仲飞. 马尔可夫市场中的一般多期均值-方差资产负债管理问题的时间一致策略[J]. 系统科学与数学, 2019, 39(10):1609-1631. Ge H, Li Z F. Time-consistent strategy for general multi-period mean-variance asset-liability management in a Markov market[J]. Journal of Systems Science and Mathematical Sciences, 2019, 39(10):1609-1631.
[22] Haberman S, Pitacco E. Actuarial models for disability insurance[M]. Boca Raton, FL:Chapman and Hall/CRC Press, 1999.
[23] Katz S, Ford A B, Moskowitz R W, et al. Studies of illness in the aged:The index of ADL:A standardized measure of biological and psychosocial function[J]. The Journal of the American Medical Association, 1963, 185(12):914-919.

{{custom_fnGroup.title_cn}}

脚注

{{custom_fn.content}}

相关知识

老年人健康状况的数据分析怎么写的比较好
基于车辆健康状态评估的自适应分簇算法
大数据处理分析个人健康
医学数据分析的公开数据库指南
健康数据分析评估.pptx
中国健康医疗大数据研究综述——基于期刊论文的分析
基于健康数据采集的健康大数据分析.pptx
基于深度迁移学习的健康意识汽车电池状态估计,Applied Energy
Python实现体脂率计算:基于BMI与身体数据优化健康评估模型
健康状态评估

网址: 中国老年人健康状态转移概率估计——基于两个数据库的比较分析 https://m.trfsz.com/newsview1165534.html