A platform for developing privacy preserving diagnosis mobile applications

Healthcare Information Technology has been in great vogue in the world today due to the dominant need of computational intelligence for processing, retrieval, and the use of health care information. This paper presents a platform system for developing self-diagnosis mobile applications. The mobile application developers can use this platform to develop applications that give the possible diagnosis according to users' symptoms without revealing any sensitive information about the users. The system consists of stop word removal, natural language processing, privacy preserving information retrieval, and decision support.