Personalized Exercise Prescription Recommendation for Type 2 Diabetes Patients
Pages 84 - 89
Abstract
To reduce the cost of home care and to improve the quality of life, smart healthcare systems have been developed to provide people with information about their health, especially to prepare for unexpected conditions and prevent illness as early as possible. As the number of diabetes patients continuously increases, we develop a practical service for type 2 diabetes healthcare in this work. This service focuses on building personalized services based on users' body conditions, preferences, and daily schedules. We design a constrained genetic algorithm approach to construct this personalized service. Experiments have been conducted to evaluate the presented service. The results prove this proposed approach valuable and practical for developing healthcare services.
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Index Terms
- Personalized Exercise Prescription Recommendation for Type 2 Diabetes Patients
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Published In
May 2024
349 pages
ISBN:9798400716874
DOI:10.1145/3673971
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 September 2024
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ICMHI 2024
ICMHI 2024: 2024 8th International Conference on Medical and Health Informatics
May 17 - 19, 2024
Yokohama, Japan
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