Title :
A platform for developing privacy preserving diagnosis mobile applications
Author :
Ucan, Sanem ; Huanying Gu
Author_Institution :
Dept. of Comput. Sci., New York Inst. of Technol., New York, NY, USA
Abstract :
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.
Keywords :
data privacy; health care; information retrieval; information use; mobile computing; computational intelligence; decision support; health care information processing; health care information retrieval; health care information use; healthcare information technology; natural language processing; privacy preserving diagnosis mobile application development; privacy preserving information retrieval; stop word removal; Databases; Diseases; Medical diagnostic imaging; Mobile communication; Natural language processing; Servers; Decision Support; Healthcare; Natural Language Processing; Privacy;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
DOI :
10.1109/BHI.2014.6864414
