Implementation of Self-report mHealth Application and Data Analysis
dc.creator | Teng, Zhongwei | |
dc.date.accessioned | 2020-08-23T16:14:20Z | |
dc.date.available | 2018-12-07 | |
dc.date.issued | 2017-12-07 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-12052017-125613 | |
dc.identifier.uri | http://hdl.handle.net/1803/15163 | |
dc.description.abstract | As a growing industry, mHealth has been adopted in many fields of healthcare, such as diabetes, hypertension, asthma, eating disorders and data collection. To improve practicality of mHealth applications, authentication schema, as the credential guard to protect access to mobile application with sensitive patient data, need to be evaluated according to the particularity of mHealth applications' user base. This paper identified several metrics for evaluating authentication schema of mHealth applications from the aspects of security and ease to use. Following these metrics, a QR-Code based schema is proposed as an alternative secure and convenient authentication way. This paper also evaluated different models of data analysis on self-report data. | |
dc.format.mimetype | application/pdf | |
dc.subject | Data Analysis | |
dc.subject | Authentication | |
dc.subject | mHealth | |
dc.title | Implementation of Self-report mHealth Application and Data Analysis | |
dc.type | thesis | |
dc.contributor.committeeMember | Richard Alan Peters | |
dc.contributor.committeeMember | D. Mitchell Wilkes | |
dc.type.material | text | |
thesis.degree.name | MS | |
thesis.degree.level | thesis | |
thesis.degree.discipline | Electrical Engineering | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2018-12-07 | |
local.embargo.lift | 2018-12-07 |
Files in this item
This item appears in the following Collection(s)
-
Electronic Theses and Dissertations
Electronic theses and dissertations of masters and doctoral students submitted to the Graduate School.