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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jingquan Li Xueying Li |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Psychiatry, Univ. of Texas Health Sci. Center at San Antonio, San Antonio, TX, USA (Xueying Li) || Sch. of Bus., Texas A&M Univ.-San Antonio, San Antonio, TX, USA (Jingquan Li) |
| Abstract | The digitalization of mental health records and psychotherapy notes has made individual mental health data more readily accessible to a wide range of users including patients, psychiatrists, researchers, statisticians, and data scientists. However, increased accessibility of highly sensitive mental records threatens the privacy and confidentiality of psychiatric patients. The objective of this study is to examine privacy concerns in mental health research and develop a privacy preserving data analysis approach to address these concerns. In this paper, we demonstrate the key inadequacies of the existing privacy protection approaches applicable to use of mental health records and psychotherapy notes in records based research. We then develop a privacy-preserving data analysis approach that enables researchers to protect the privacy of people with mental illness once granted access to mental health records. Furthermore, we choose a demonstration project to show the use of the proposed approach. This paper concludes by suggesting practical implications for mental health researchers and future research in the field of privacy-preserving data analytics. |
| Starting Page | 95 |
| Ending Page | 101 |
| File Size | 188997 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781467372787 |
| DOI | 10.1109/BigDataCongress.2015.23 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data privacy Data analysis Mental health records Records-based research Medical services Security Privacy Databases Psychotherapy notes Mental health research Big data Data analaysis Medical diagnostic imaging |
| Content Type | Text |
| Resource Type | Article |
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