Introduction: The digital divide means economic and social inequality for access to and use of ICT. Information and communication technology, despite the spatial and temporal barriers, can provide a valuable opportunity for patients to access health information. The aim of this study was to identify factors affecting the digital divide in patients and ways to reduce it. Materials and Methods: ...

Requirements and Platforms of Information and Communication Technology (ICT) for Achieving the Goals of Holistic Scientific Map on Health Mohammad Dehghani 1, 2, Amir Torab-Miandoab 3, Mohamad Hosein Hayavi Haghighi 4 * 1 Scientific and Educational Center for Health Management of Iran, Tabriz University of Medical Sciences, Tabriz, Iran 2 Student Research Committee, Tabriz University of Medi...

Aim: Universities are sources of changes in society in different fields. The main pillar of the university are students who constitute the main body of organizations and different groups of society. Therefore, knowing students' attitudes and their satisfaction is essential. The purpose of this study was to determine Health Information Technology students' satisfaction of their job prospects in ...

the purpose of this study was to investigate the impact of blended learning and multimedia softwares on iranian efl students vocabulary learning. in addition, the present study tried to examine the extent to which multimedia softwares can be applied into efl classes in iran. it also attempted to find out students attitudes toward using these softwares. to this end, 87 iranian efl learners at el...

Background: Study of the attitudes of health information management experts in health systems could be regarded in order to maximize utilization of information. The research reported here aimed to study of attitudes of medical records departments in Iran about mechanisms of development of health care system information technology. Material and method: A cross- sectional research was developed ...

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...