跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
連結會在新分頁中開啟
English
中文
在 國立中央大學 搜尋內容
首頁
人才檔案
研究單位
研究計畫
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
Active Aging AI Community Care Ecosystem Design
Hsiao Ting Tseng
, Hsieh Hong Huang
, Chen Chiung Hsieh
資訊管理學系
研究成果
:
書貢獻/報告類型
›
會議論文篇章
›
同行評審
3
引文 斯高帕斯（Scopus）
總覽
指紋
指紋
深入研究「Active Aging AI Community Care Ecosystem Design」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Elderlies
100%
AI Community
100%
Healthcare Ecosystem
100%
Community Care
100%
Active Ageing
100%
Ecosystem Engineer
100%
Aging Environment
50%
Deep Learning
50%
Treatment Stage
50%
Machine Learning Techniques
50%
Statistical Techniques
50%
Elderly Care
50%
Elderly People
50%
Long-term Care
50%
Population Aging
50%
Long-term Care Services
50%
Life Stages
50%
Psychological Needs
50%
Mental Health
50%
Healthy Life
50%
Healthcare Data
50%
Elderly Health
50%
Notification Process
50%
Family Caregiving
50%
Physiological Needs
50%
Sense of Loneliness
50%
Physical Health
50%
Aging Issue
50%
Declining Birth Rate
50%
Data Privacy Protection
50%
Healthy Elders
50%
Alert Mechanism
50%
Sharing Model
50%
Smart Community
50%
Computer Science
Privacy Protection
100%
Machine Learning Technique
100%
Statistical Technique
100%
Aging Population
100%
Hidden Information
100%
Decision Point
100%
Healthcare Data
100%
Deep Learning Method
100%
Artificial Intelligence
100%
Nursing and Health Professions
Long Term Care
100%
Community Care
100%
Artificial Intelligence
100%
Elderly Care
50%
Mental Health
50%
Loneliness
50%
Family Counseling
50%
Health Care
50%
Medicine and Dentistry
Long-Term Care
100%
Healthy Aging
100%
Health Care
50%
Mental Health
50%
Loneliness
50%
Family Counseling
50%
Psychology
Community Care
100%
Artificial Intelligence
100%
Healthcare
50%
Mental Health
50%
Loneliness
50%