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: 01-09-2020 → 15-09-2020 |
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 |
| City | Kitakyushu |
| Period | 01-09-20 → 15-09-20 |
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
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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
フィンガープリント
「Further Assessment of Dissaving Risk against Life Expectancy for Elderly People through Anonymous Data and Random Data for Social Implementation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
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