基于人工智能的移动医疗健康助手设计

his subject is based on mobile application development combined with deep learning. The Android platform serves as the client and the deep learning server provides image recognition for development. The main function of the system is inquiry and tongue diagnosis. The inquiry function is mainly implemented by a decision tree model. The diagnosis results include more than a hundred diseases, and can be subsequently expanded in volume and model updated to improve the accuracy and credibility of the diagnosis.The tongue diagnosis function combines the theory of TCM tongue diagnosis with image recognition technology to distinguish between normal , White, yellow and black tongue coating pictures of four different tongue coating colors. The last three correspond to the internal cold in the traditional Chinese medicine theory, the white cold and the evil heat are aggravated. While realizing the main function, use Web technology and Baidu maps to increase assistance Features that allow users to quickly navigate to nearby medical locations, and also add registration and login functions to achieve user personalized management.