نتایج جستجو برای: similar privacy setting

تعداد نتایج: 944992  

Journal: :international journal of architecture and urban development 0
fatemeh mohammad niay gharaei ph.d. candidate, department of art and architecture, science and research branch, islamic azad university, tehran, iran.

this study investigated cross-cultural differences in the privacy regulation and perception of crowding amongtwo iranian sub-cultures (kurdish and northern women).the primary purpose of this study was to examine whether northern and kurdish women differed in their desired and achieved levels of privacy in parks. the second purpose of this study was to investigate the relationships between the d...

Journal: :international journal of architecture and urban development 2013
fatemeh mohammad niay gharaei

this study investigated cross-cultural differences in the privacy regulation and perception of crowding amongtwo iranian sub-cultures (kurdish and northern women).the primary purpose of this study was to examine whether northern and kurdish women differed in their desired and achieved levels of privacy in parks. the second purpose of this study was to investigate the relationships between the d...

Hasan Alizadeh Narges Naderi

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

2017
Roy Eagleson Luis Altamirano-Diaz Alex McInnis Eva Welisch Stefanie De Jesus Harry Prapavessis Meghan Rombeek Jamie A Seabrook Teresa Park Kambiz Norozi

BACKGROUND With the increasing implementation of web-based, mobile health interventions in clinical trials, it is crucial for researchers to address the security and privacy concerns of patient information according to high ethical standards. The full process of meeting these standards is often made more complicated due to the use of internet-based technology and smartphones for treatment, tele...

Journal: :Expert Systems With Applications 2022

Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels mitigate severity. Predictive machine learning models assess each patient's likelihood of becoming based on clinical notes. Yet, while benefit from having more data, data availability limited as hospitals typically do not share their for privacy preservation. Feder...

2018
Nasriah Zakaria Rusyaizila Ramli

Background Psychiatric patients have privacy concerns when it comes to technology intervention in the hospital setting. In this paper, we present scenarios for psychiatric behavioral monitoring systems to be placed in psychiatric wards to understand patients' perception regarding privacy. Psychiatric behavioral monitoring refers to systems that are deemed useful in measuring clinical outcomes, ...

Journal: :AMIA ... Annual Symposium proceedings. AMIA Symposium 2015
Joshua E. Richardson Jessica S. Ancker

Given growing interest in mobile phones for health management (mHealth), we surveyed consumer perceptions of mHealth in security, privacy, and healthcare quality using national random-digit-dial telephone surveys in 2013 and 2014. In 2013, 48% thought that using a mobile phone to communicate data with a physician's electronic health record (EHR) would improve the quality of health care. By 2014...

2016
Sergio Zorzo Diego Pontes Jose Mello Diego Dias

Users usually don't read privacy policies of the websites accessed. This paper presents the privacy policy of the websites in a format named Privacy Label for being similar to nutritional labels. It is presented on the standardized-table format of items of privacy policies, including governmental policies. This format was compared to the policies described as full text written in natural langua...

Journal: :Journal of machine learning research : JMLR 2011
Kamalika Chaudhuri Claire Monteleoni Anand D. Sarwate

Privacy-preserving machine learning algorithms are crucial for the increasingly common setting in which personal data, such as medical or financial records, are analyzed. We provide general techniques to produce privacy-preserving approximations of classifiers learned via (regularized) empirical risk minimization (ERM). These algorithms are private under the ε-differential privacy definition du...

ژورنال: حیات 2005
جولایی, سودابه , مهرداد, ندا , پارسایکتا, زهره ,

The concept of privacy, which is used in many disciplines, is a basic human need and also is recognized as an important concept in nursing. The concept of privacy has been described in various dimensions including physical, psychological, social and informational privacy. In this article we review these dimensions. Most of the studies related to the privacy have been carried out in the area of...

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