[[alternative]]Practicing of Health Learning System：Machine Learning in Health Literacy for Middle-Aged and Elderly Adults Chronic Disease Prediction

[[abstract]]根據我國衛福部2018年老人人口調查指出，2017年9月底我國65歲以上人口數達到約321.9萬人，高齡人口成長率日益攀升。而隨著年齡增高，慢性疾病之罹病率也隨之提高。目前許多國家研究如何以最有效與適合的方法來改善老人健康狀況，研究發現老年人的健康識能(Health Literacy)與罹患慢性疾病極為相關。因此，老年人的健康識能提升也越來越受到的重視，甚而被認為是影響健康狀況的關鍵因素。從文獻發現，國際上已有許多評估健康識能的問卷工具，而國內也有多位學者設計了測量老年人健康素養之量表工具，並應用於台灣中老年人之健康識能與健康狀況相關性調查，也將問卷所蒐集之資料公開於學術調查研究資料庫(SRDA)供後續研究。除此，目前因資訊科技的進步與大數據技術的成熟，「學習型健康系統」(Learning Health System)也快速發展了起來，而其運用機器學習建模技術於決策支援的功能經常被用於輔助疾病診斷，因而在健康領域的應用研究也備受重視。本研究利用中老年健康識能研究之次級資料以機器學習技術開發輔助診斷慢性疾病的模型，並將模型導入健康識能評估網站之開發建置，希望能開發實用性高、低成本及具便利性的自我評估工具，讓使用者可在網頁上填答個人相關資料及健康識能問卷以達成非侵入式評估「有無三種以上慢性疾病」風險，並實現學習型健康系統之目的。[[abstract]]According to the 2018 Population Survey of the Ministry of Health and Welfare of Taiwan, at the end of September 2017, the number of people over age 65 in Taiwan reached approximately 3.219 million. With the increase of average life expectancy, the chronic diseases of older adults become a common situation. Many research found that the health literacy of the elderly is related to chronic diseases. Therefore, the improvement of health literacy for the elderly is important. There are many questionnaire tools for evaluating health literacy internationally. In Taiwan, many studies have designed several health literacy questionnaires to measure the health literacy of the elderly, and the questionnaire was applied to explore the correlation between health literacy and the health status of the elderly. The collected data in the research has been published in the “Survey Research Data Archive” (SRDA). Nowadays, “Learning Health Systems”, is a new trend of combine medical theorem and clinical data in practice, which uses machine learning for decision support, and is often used to aid in disease diagnosis.This research uses machine learning algorithms and secondary data from health literacy research of middle-aged and elderly people to develop several multi-chronic disease prediction models, and select the best fit model from the machine learning process to build a health literacy assessment website. The health literacy assessment website allows users to fill in personal information and health literacy questionnaires, and will respond to the user’s risk of “multi-chronic diseases”. Thus, non-invasive assessment and prediction of multi-chronic diseases is achieved via this website, and fulfill the purpose of the Learning Health System