Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems

Modern healthcare systems now rely on advanced computing methods and technologies, such as Internet of Things (IoT) devices and clouds, to collect and analyze personal health data at an unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical model...

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Veröffentlicht in:	IEEE internet computing Jg. 22; H. 2; S. 42 - 51
Hauptverfasser:	Sharma, Sagar, Chen, Keke, Sheth, Amit
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2018
Schlagworte:	Analytical models application of privacy preserving protocols Cloud computing Computational modeling Data models Data privacy Internet IoT healthcare and privacy concerns Medical services pervasive healthcare services precision healthcare Privacy privacy preserving outsourced computation privacy risks in modern healthcare
ISSN:	1089-7801, 1941-0131
Online-Zugang:	Volltext
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