Elderly Care Recommendation System for Informal Caregivers Using Case-Based Reasoning
The aging world population is a challenge for global healthcare.Caring for the elderly is particularly stressful and difficult for informal caregivers.Accordingly,automated systems to assist informal caregivers will fill a great need.In this paper,a system prototype is developed to provide recommendations for elderly care to informal caregivers applying case-based reasoning(CBR)techniques.The recommendations are divided into four areas,namely,physical therapy,food,emotional,and exercise regimes.Real data was used as the input to create a case database and identify weighted attributes in consultation with experts.A novelty in our application of CBR is the use of tailored similarity measures depending on the attribute type.The system prototype performs with high accuracy.
case-based reasoning elderly care elderly health healthcare informal caregiver recommendation system
Sukontip Wongpun Sumanta Guha
Computer Science and Information Management Program,Asian Institute of Technology,Thailand;Business Computer Science and Information Management Program,Asian Institute of Technology,Thailand
国际会议
重庆
英文
548-552
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）