Parallelly Running k-Nearest Neighbor Classification Over Semantically Secure Encrypted Data in Outsourced Environments

Cloud services with powerful resources are popularly used to manage exponentially increasing data and to carry out data mining to analyze the data.However, a data mining involving query can cause privacy problems by disclosing both the data and the query.One task in data mining, classification, is used in a wide range of applications, and we focus

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ARDS: hidden perils of an overburdened diagnosis

Abstract A diagnosis of ARDS serves as a pretext for several perilous clinical practices.Clinical trials demonstrated that tidal volume 12 ml/kg increases patient mortality, but 6 ml/kg has not proven superior Grips to 11 ml/kg or anything in between.Present guidelines recommend 4 ml/kg, which foments severe air hunger, leading to prescription of h

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Thematic Categorization of Mobile Health Software Packages and their Priority from the Perspective of Iranian Physicians

Introduction: Mobile health is the use of mobile and wireless technologies for health-related goals.To this end, various mobile applications have been created in different medical fields.The goal of this study was subject categorization of mobile health applications in Iran and to find their priority according to physicians.Methods: This was a desc

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