Elderly care recommendation system for informal caregivers using case-based reasoning
| Autor: | Sukontip Wongpun, Sumanta Guha |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Knowledge management
020205 medical informatics Computer science business.industry Novelty Elderly care Cognition 02 engineering and technology World population Recommender system Similarity (psychology) Health care 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Case-based reasoning business |
| Zdroj: | 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). |
| DOI: | 10.1109/iaeac.2017.8054075 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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