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Further Assessment of Dissaving Risk against Life Expectancy for Elderly People through Anonymous Data and Random Data for Social Implementation

  • Yuya Yokoyama
  • , Yasunari Yoshitomi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

With a view to detecting the deterioration of economic activity for elderly people at age of sixty-five or over, we have used an anonymous data (AD) obtained from the National Survey of Family Income and Expenditure (NSFIE) carried out by Ministry of Internal Affairs and Communications (MIC). So far we have developed a method to detect dissaving risk of elderly people by using AD and random data (RD). Here, AD was used as test data, while RD was set as training data. Then three methods were performed in terms of savings and income. The analysis result has shown that using both RD and AD would be as effective as using only AD for evaluating the performance of the proposed method. However, with a view to social implementation, it is required to investigate if our methods could be applicable when house types, rent or own house, are disregarded. This paper firstly shows that our method can be extensive with disregarding house types. Then these results can be improved for single males and females through altering two experimental parameters. For the purposes of performance evaluation, four sets of conditions are considered and analyzed. The best when the threshold to determine AD as dissaving risk might depend on the training data. Moreover, the best criterion to detect dissaving risk of elderly males was not the same for elderly females.

本文言語英語
ホスト出版物のタイトルProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
編集者Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, Sachio Hirokawa
出版社Institute of Electrical and Electronics Engineers Inc.
ページ27-32
ページ数6
ISBN(電子版)9781728173979
DOI
出版ステータス出版済み - 09-2020
外部発表はい
イベント9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020 - Kitakyushu, 日本
継続期間: 01-09-202015-09-2020

出版物シリーズ

名前Proceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020

会議

会議9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
国/地域日本
CityKitakyushu
Period01-09-2015-09-20

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理

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