由於近年來醫療科技的進步，雲端運算與醫療的結合發展趨於成熟，因此以實證法利用文獻蒐集並瞭解糖尿病視網膜病變、專家系統、雲端運算三方面為主軸的相關研究成果，分析整理後開發一套結合三項主題的系統設計以實作方式開發系統雛型程式來驗證。本研究目的在開發一套可在雲端環境上查詢及診斷糖尿病及糖尿病視網膜病變的專家系統，提供一般使用者及專業醫療人員二者皆能使用的規則式專家系統，運用年齡、腰圍、糖尿病家族史與高血壓用藥史等指標，結合美國糖尿病協會所制定的診斷標準做為判斷的依據，以前向式推論方法給予前提來得到結論的規則式專家系統。實驗結果顯示本系統可提供使用者快速、有效、與低成本之糖尿病與糖尿病視網膜病變的診斷結果及建議，希望藉此達到輔助的效益，促進早期發現、早期治療的果效，使公共衛生的醫療負擔問題能逐漸減少。
Due to the rapid development of computer science, medical technologies and cloud computing in recent years, this study tries to use the empirical method to build a diabetic retinopathy diagnosis expert system that is able to offer diagnoses and inquiries about diabetic retinopathy for expert and non-expert users in a cloud computing environment. The expert system employs indicators of diabetes: age, waist, family history of diabetes and treatment history of high blood pressure, etc. and combined with the diagnostic criteria of diabetes set up by American Diabetes Association (ADA) as the fundamental of consultations. In addition, the system is rule-based and use forward chaining method to draw conclusions or results. Experimental results show that the system can provide fast, effective and low-cost diagnoses and recommendations of diabetes for users. We hope to reach the goal of early detection, as well as treatment for public and gradually reduce the medical loading of public health care.
