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Implementation of Self-report mHealth Application and Data Analysis

dc.creatorTeng, Zhongwei
dc.date.accessioned2020-08-23T16:14:20Z
dc.date.available2018-12-07
dc.date.issued2017-12-07
dc.identifier.urihttps://etd.library.vanderbilt.edu/etd-12052017-125613
dc.identifier.urihttp://hdl.handle.net/1803/15163
dc.description.abstractAs 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.mimetypeapplication/pdf
dc.subjectData Analysis
dc.subjectAuthentication
dc.subjectmHealth
dc.titleImplementation of Self-report mHealth Application and Data Analysis
dc.typethesis
dc.contributor.committeeMemberRichard Alan Peters
dc.contributor.committeeMemberD. Mitchell Wilkes
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelthesis
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorVanderbilt University
local.embargo.terms2018-12-07
local.embargo.lift2018-12-07


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