The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study examines the privacy and security obstacles encountered during the implementation of an electronic health record system known as the e-SiHi system (i.e. Electronic System for Integrated Health Information). e-SiHi was recently adopted by King Saud University Medical City (KSUMC), Saudi Arabia. The research proposed a solution to the challenge of lack of trust of healthcare physicians, which...
Nowadays, many countries have adopted Electronic Health Record (HER) in order to provide a service in an effective and efficient way. Jordan adopted Electronic Health Record named Hakeem to improve the Jordanian health system. This research was conducted to study the impact of political factors (political stability, and Employment and labor law) on the EHR success. Using a questionnaire and focus...
Hospital length of stay (LOS) of patients is an important factor for planning and managing the resource utilization of a hospital. There has been considerable interest in controlling hospital cost and increasing service efficiency, particularly in stroke and cardiac units where the resources are severely limited. This study introduces an approach for early prediction of LOS of stroke patients arriving...
The rapid advancement of wearable devices and smartphones, allowed practitioners and specialists to keep track of physical, biological and behavioral activities. Nowadays, this self tracking, a.k.a. quantified self (QS), is widely used in big data science due to the large volume of data being generated from these devices. The wearable devices that are being used today for self-tracking can collect...
A novel method of Lung image segmentation based on Textural Echo State Neural Network is proposed in this paper. This work combines the textural features of different pixels in the lung images in order to increase the performance of region of interest segmentation. For segmenting lung images, a two-step process is done. First, an unsupervised border detection is done in order to separate the foreground...
Smart home technology can improve the quality of life for inhabitants of homes. This technology allows the inhabitants to monitor their home and any electrical device locally or remotely via computerized central control. Despite the advances in the smart home technologies, people with disabilities - particularly those with quadriplegia, - will not be able to utilize the currently available techniques...
Automatic screening of atrial fibrillation (AF) in the out-of-clinic environment is potentially an effective method for early detection of this life-threatening arrhythmia which is often paroxysmal and asymptomatic. Different technologies such as modified blood pressure monitor, single lead ECG-based finger-probe, and smartphone using plethysmogram signal have been emerging for this purpose. All these...
In this paper, an augmented registration approach towards Image stitching method is developed by examining the graciousness of feature based method jointly with direct based methods to identify and stitch a pair of overlapped images is presented. The developed method based on this hybrid approach is investigated in term of performance and accuracy. The ability of the examined method to classify overlapping...
Wireless body sensor networks (WBSN), elected as a promising infrastructure for mobile health (m-health) applications and e-healthcare, are facing many challenges related to their powering and processing capabilities. In depth, the available hardware resources and energy embedded on these tiny body sensors, to record and transmit continuous streams of unprocessed biosignals, are limited and cannot...
This paper presents design and implementation of a mixed reality e-learning architecture integrated with cloud computing technology. Consequently, the paper discusses a cloud based mixed reality computing framework for e-learning collaboration model. The proposed framework for the cloud-based mixed reality is designed to open the mixed reality dataset courses and related contents. The framework employees’...
Preserving privacy of the electronic health records of the patients has been a fundamental issue in the healthcare domain. Several techniques have been employed to maintain privacy of the sensitive information such as controlling access to the medical records. While acting as a first line of defense against illegitimate access, traditional access control schemes fall short of defending against misbehavior...
In the study of the retinal diseases are nowadays available several kind of diagnostic tests. However, their diagnostic findings are typically images of anatomical portions of the eye obtained by a different optical method and, consequently, by presenting, each of them, a different resolution, rotation and angle of view. Moreover, each of these diagnostic images is useful to highlight only few aspects...
Analysis of eye movement behavior is useful for many applications that include human computer interactions, gaze detection, human activity, motion and expression analysis. Analyzing eye movements is one of the key ways for detection of dry eye and driver’s drowsiness. Dry eye is linked to lower blink rate while as driver’s drowsiness is associated with prolonged eye closure. In this paper we detect...
Norovirus represent a leading cause of acute gastroenteritis in most developed countries. Modeling of general microbial occurrence in drinking water is a very active field of study and provides reliable information for predicting microbial risks in drinking water. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is proposed as a predicting model of the total number of Norovirus in raw...
assistive technology customizes speech technology to offer a new communication channel for disabled people such as blind or having speech difficulties. Converting written text into natural speech has been addressed in the last decades for some languages such as English, hence, used in many applications such as voice answering machines, reading articles and exploring software for blind people. Other...
Predicting the survival status of patients who will undergo breast cancer surgery is highly important, where it indicates whether conducting a surgery is the best solution for the presented medical case or not. Since this is a case of life or death, the need to explore better prediction techniques to ensure accurate survival status prediction cannot be overemphasized. In this paper we evaluate the...
The Health Informatics e-Learning Object Repository (HiLOR) project aims at designing an e-learning platform to support health informatics education. HiLOR provides a platform for collecting, indexing and retrieving learning objects related to health informatics. This paper presents the design, implementation and usability evaluation of the proposed system. The result of the study revealed that elearning...
Nowadays, statistics show an increase in the diseases of the circulatory system in United Arab Emirates, which makes it the first leading cause of death. This prompted a high demand for adopting an emerging technology of e- Health monitoring systems using Wireless Body Area Network (WBAN), which collects patient’s data and communicates it effectively to the relevant healthcare providers for continues...
This paper presents a process for designing an online Community of Practice (CoP) system for nurses. First, we used Value Sensitive Design by identifying the four features: benefits, harms, future trend, and pervasiveness of the CoP system to stakeholders. Next, we created two personas that represent direct stakeholders. We then incorporated the four features and personas into value scenarios. Based...
This paper introduces to diagnosis of Dyslexia using computing system, considered people difficulties in reading, spelling, writing and speaking. Consequently, a computational analysis classifier will be achieved using dyslexia metrics techniques. Accordingly, Gibson test of brain skills will be used with effect of working memory, auditing (hearing and speech) and visual memory and cognition, visual...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.