Aging population, insufficient manpower for caring patients, and clinical care personnel working overtime are common issues faced by many countries in the world (e.g., Taiwan, Japan, USA). Developing new mechanisms of care is an important issue in urgent need of study. Health education is an important link in the caring business. Although medical institutes promote health education, the outcome is limited due to inadequate manpower and resources. The fast-paced development of artificial intelligence (AI) technology brings new direction in solving the problem. The proposed study aims to combine quasi-neural networks and fuzzy expert systems to develop a new generation of intelligent health education expert system. The main functions of the system include risk assessment of diseases (e.g., detection and screening for high-risk groups) and personalized health education information (e.g., medication, therapy, diet, exercise, etc). The research proposal is divided into two stages. In stage 1, AI technology will be used to construct an intelligent health education expert system using prevention and health education promotion of heart-related diseases as examples to design and test the system. In stage 2, the Technology Acceptance Model will be used to analyze the intention of those who use the intelligent health education system. The results of the proposed study will help to improve the current status of traditional care and provide important reference for upgrading medical institutes to smart hospitals, and achieve the final goal of lifting the quality of medical care.
|Effective start/end date||1/08/18 → 31/07/19|
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
- Health education
- Intelligent information system
- Adoption intention
- Technology Acceptance Model
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