[PDF] Privacy-preserving Metrics for an mHealth App in the Context of ...
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The central question investigated here is how data about the usage of mobile applications in empirical studies with mHealth technologies can be collected in a�...
PDF | On Jan 1, 2020, Alexander Gabel and others published Privacy-preserving Metrics for an mHealth App in the Context of Neuropsychological Studies | Find�...
There a privacy-friendly concept for collecting data about the usage of the app based on metrics which are derived from research questions is proposed. The main�...
In this article the neuropsychological intervention study is described and a concept for privacy-preserving metrics with a focus on data minimization is derived�...
We conducted an analysis of 64 popular self-tracking services to determine the extent to which the services satisfy various dimensions of privacy.
Missing: Neuropsychological | Show results with:Neuropsychological
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Studies show that users have greater security and privacy concerns about mHealth apps that focus on issues associated with stigmatization, discrimination�...
Missing: Metrics Neuropsychological
Jun 24, 2022 � ... Privacy-preserving metrics for an mHealth app in the context of neuropsychological studies. In: HEALTHINF. vol. 5, pp. 166–177 (2020). https�...
In this paper, we propose a privacy-preserving edge FL framework for resource-constrained mobile-health and wearable technologies over the IoT infrastructure.
Missing: Neuropsychological | Show results with:Neuropsychological
Oct 22, 2018 � Our heuristic evaluation method supports the retrospective evaluation of privacy in self-tracking apps and can be used as a prescriptive�...
Missing: Neuropsychological | Show results with:Neuropsychological
Nov 8, 2022 � This paper reports an empirical study aimed at systematically identifying and understanding data privacy incorporated in mental health apps.
Missing: Neuropsychological | Show results with:Neuropsychological