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

fYear

2014

fDate

1-4 June 2014

Firstpage

509

Lastpage

512

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864414

Filename

6864414