计算机科学
推论
模式(遗传算法)
决策支持系统
独立生活
生活质量(医疗保健)
人工智能
日常生活活动
认知
模糊认知图
老年学
心理学
机器学习
模糊逻辑
医学
模糊集
护理部
精神科
模糊数
作者
Antonis Billis,Elpiniki I. Papageorgiou,Christos A. Frantzidιs,Marianna Tsatali,Anthoula Tsolaki,Panagiotis D. Bamidis
出处
期刊:IEEE Journal of Biomedical and Health Informatics
[Institute of Electrical and Electronics Engineers]
日期:2015-01-01
卷期号:19 (1): 199-209
被引量:49
标识
DOI:10.1109/jbhi.2014.2336757
摘要
Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varying, long-term deteriorating health trends are not easily identifiable in seniors. Thus, early sign detection of a specific condition, as well as, any likely transition from a healthy state to a pathological one are key problems that the herein proposed framework aims at resolving. Statistical process control concepts offer a personalized approach toward identification of trends that are away from the atypical behavior or state of the seniors, while fuzzy cognitive maps knowledge representation and inference schema have proved to be efficient in terms of disease classification. Geriatric depression is used as a case study throughout the paper, so to prove the validity of the framework, which is planned to be pilot tested with a series of lone-living seniors in their own homes.
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