scholarly journals Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Adel Saeed Alzahrani ◽  
Valerie Gay ◽  
Ryan Alturki ◽  
Mohammad J AlGhamdi
Keyword(s):  
Language Processing ◽  
Mobile Application ◽  
Mobile Apps ◽  
Healthcare Services ◽  
Smartphone Apps ◽  
Privacy And Security ◽  
Daily Lives ◽  
Almost All ◽  
App Design ◽  
And Robotics

Mobile application (app) use is increasingly becoming an essential part of our daily lives. Due to their significant usefulness, people rely on them to perform multiple tasks seamlessly in almost all aspects of everyday life. Similarly, there has been immense progress in artificial intelligence (AI) technology, especially deep learning, computer vision, natural language processing, and robotics. These technologies are now actively being implemented in smartphone apps and healthcare, providing multiple healthcare services. However, several factors affect the usefulness of mobile healthcare apps, and usability is an important one. There are various healthcare apps developed for each specific task, and the success of these apps depends on their performance. This study presents a systematic review of the existing apps and discusses their usability attributes. It highlights the usability models, outlines, and guidelines proposed in previous research for designing apps with improved usability characteristics. Thirty-nine research articles were reviewed and examined to identify the usability attributes, framework, and app design conducted. The results showed that satisfaction, efficiency, and learnability are the most important usability attributes to consider when designing eHealth mobile apps. Surprisingly, other significant attributes for healthcare apps, such as privacy and security, were not among the most indicated attributes in the studies.

Pocket E-Li: Listening Assessment Made Easy

2019 ◽  
Vol 3 (1) ◽  
pp. 4
Author(s):  
Norazean Sulaiman ◽  
Nurul Nadiah Dewi Faizul Ganapathy ◽  
Wan Faizatul Azirah Ismayatim
Keyword(s):  
Mobile Application ◽  
Listening Comprehension ◽  
Teaching And Learning ◽  
Positive Response ◽  
Mobile Apps ◽  
Listening Skills ◽  
Current Technology ◽  
The Future ◽  
Level Of Understanding ◽  
Almost All

Listening skills should be given more attention as listening takes precedence over anything else when it comes to acquiring a language (Putriani, Sukirlan & Supriyadi, 2013). Even with the booming of various technology to facilitate teaching and learning of listening skills in class, the assessment conducted to identify students’ level of understanding of certain topic is still not up-to-date and not parallel with the advancement of technology. The current studies show that the use of mobile apps for listening purpose is proven to be effective in reducing students’ anxiety (Rahimi & Soleymani, 2015), sustaining students’ motivation (Read & Kukulska-Hulme, 2015), and improving students’ linguistic competencies (Ramos & Valderruten, 2017). This study is aimed to test the effectiveness of mobile application in assessing students’ listening skills. Diploma students from various faculties in UiTM Shah Alam were randomly chosen to answer listening comprehension questions via the prototype developed, named Pocket E-Li. The results demonstrate that the majority of the students provided positive response towards the implementation of mobile application for listening assessment. Almost all respondents agreed that listening assessment should be conducted via mobile application in the future. It can be concluded that listening assessment via mobile application is beneficial to students since it meets the students’ demands and needs which is equivalent with the use of current technology.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

A Tracer Study of ICT Graduate Students at Mzuzu University, Malawi

Mousaion ◽  
2019 ◽  
Vol 36 (3) ◽  
Author(s):  
Chimango Nyasulu ◽  
Winner Chawinga ◽  
George Chipeta
Keyword(s):  
Language Processing ◽  
Mobile Application ◽  
First Century ◽  
Application Development ◽  
Job Requirements ◽  
Level Of Satisfaction ◽  
Information And Communication ◽  
Quantitative Design ◽  
The Right ◽  
The University

Governments the world over are increasingly challenging universities to produce human resources with the right skills sets and knowledge required to drive their economies in this twenty-first century. It therefore becomes important for universities to produce graduates that bring tangible and meaningful contributions to the economies. Graduate tracer studies are hailed to be one of the ways in which universities can respond and reposition themselves to the actual needs of the industry. It is against this background that this study was conducted to establish the relevance of the Department of Information and Communication Technology at Mzuzu University to the Malawian economy by systematically investigating occupations of its former students after graduating from the University. The study adopted a quantitative design by distributing an online-based questionnaire with predominantly closed-ended questions. The study focused on three key objectives: to identify key employing sectors of ICT graduates, to gauge the relevance of the ICT programme to its former students’ jobs and businesses, and to establish the level of satisfaction of the ICT curriculum from the perspectives of former ICT graduates. The key findings from the study are that the ICT programme is relevant to the industry. However, some respondents were of the view that the curriculum should be strengthened by revising it through an addition of courses such as Mobile Application Development, Machine Learning, Natural Language Processing, Data Mining, and LINUX Administration to keep abreast with the ever-changing ICT trends and job requirements. The study strongly recommends the need for regular reviews of the curriculum so that it is continually responding to and matches the needs of the industry.

日本における抑うつ症状に対する心理学的介入を目的とした スマートフォン用アプリケーション・プログラムのレビュー

2020 ◽  
Author(s):  
Hikari Takashina ◽  
Kengo Yokomitsu
Keyword(s):  
Depressive Symptoms ◽  
Daily Life ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Evaluation Model ◽  
Ease Of Use ◽  
Background Information ◽  
Evidence Based ◽  
Privacy And Security ◽  
Current State

There are thousands of mobile apps delivering information and offering support and intervention in situations of daily life. The aim of this study was to identify the current state of apps for depressive symptoms or prevention of depression within the official Android and iOS app stores in Japan. The 47 apps for depression available for download from the app stores were evaluated by the App Evaluation Model regarding background information, risk/ privacy and security, evidence, ease of use, and interoperability. Also, we evaluated their primary purpose, technology components, and cognitive-behavioral therapy components. The results suggest that in general few apps have been developed that are evidence-based, secure, and provide the services that users expect. In the future, it will be necessary to develop a framework for developing and disseminating more effective apps. This study is the first review of apps for depression available in Japan and seeks to help create a framework for such apps.

Mobile Marketing: Upcoming marketing tool for Entrepreneurs

2017 ◽  
Vol 3 (02) ◽  
Author(s):  
Bhagwan Singh ◽  
Sunita Yadav
Keyword(s):  
Market Share ◽  
General Public ◽  
Mobile Apps ◽  
Mobile Marketing ◽  
Good Market ◽  
Marketing Tool ◽  
Almost All

The Bhartiyamarket is changing overnight. The reforms taken by the current UPAgovernment regarding bold decisions like demonetization in November 2016 and forthcoming launch of GST on 1st July 2017 is changing the market facade in BHARAT. Latest innovation in technology is dictating the market and the youth of the country Bharat popularly called as India is depending on the technological reforms. The youths are enlisting themselves in rapid growing and developing technology and are very much adaptive to the change, thus, having complete dependency on the e-gadgets like smartphones, laptops, iPads and the like. This change is forcing the COF (Company Organization Firms) and marketers to use this tool through which they can sell their provices (products + services) and penetrate in the hands of the smartphone users by just launching mobile apps. The launching or developing of mobile apps is the market where almost all enterprises and rising entrepreneurs are keeping eye and want to capture good market share using this tool of mobile marketing. This study has tried to explain the usage and awareness of Mobile marketing as an upcoming tool for entrepreneurs based on the responses of the general public using mobile or smartphones.

A study protocol: co-designing a mobile application to enhance communication, safety and wellbeing for people living at home with early stage dementia (Preprint)

2020 ◽  
Author(s):  
Karen Davies ◽  
Bie Nio Ong ◽  
Sudeh Cheraghi-Sohi ◽  
Katherine Perryman ◽  
Caroline Sanders
Keyword(s):  
Mobile Application ◽  
Design Research ◽  
Early Stage ◽  
Design Method ◽  
Mobile Apps ◽  
Care Service ◽  
Normalisation Process Theory ◽  
Policy And Practice ◽  
People With Dementia ◽  
At Home

BACKGROUND Background: There is a growing interest in using mobile applications in supporting health and wellbeing. Evidence directly from people with dementia regarding the acceptability, usability and usefulness of mobile apps is limited. It builds on ‘My Health Guide’ which was co-designed with people with cognitive disabilities. . OBJECTIVE Objective This paper describes the protocol of a study evaluating an app designed for supporting wellbeing with people living with dementia, specifically focusing on enhanced safety through improved communication METHODS Method: The study will employ design research, using participatory qualitative research methods over three cycles of evaluation with service users, their families and practitioners. The study will be developed in partnership with a specialist home care service in England. A purposive case selection will be used to ensure that the cases exemplify differences in experiences. The app will be evaluated in a ‘walkthrough’ workshop by people living with early stage dementia and then trialled at home by up to 12 families in a ‘try-out’ cycle. An amended version will be evaluated in a final ‘walkthrough’ workshop in cycle 3. Data will be collected from at least four data sources during the try-out phase and analysed thematically (people with dementia, carers, practitioners and app usage). An explanatory, multiple-case study design will be used to synthesise and present the evidence from the three cycles drawing on Normalisation Process Theory to support interpretation of the findings. RESULTS Results: The study is ready to be implemented but has been paused to protect vulnerable individuals during the Coronavirus in 2020. The findings will be particularly relevant for understanding how to support vulnerable people living in the community during social distancing and the period following the pandemic, as well as providing insight into the challenges of social isolation arising from living with dementia CONCLUSIONS Discussion: Evaluating a mobile application for enhancing communication, safety and wellbeing for people living with dementia contributes to key ambitions enshrined in policy and practice, championing the use of digital technology and supporting people with dementia to live safely in their own homes. The study uses a co-design method to enable the voice of users with dementia to highlight the benefits and challenges of technology and shape future development of apps that potentially enhances safety through improved communication.

scholarly journals Building Standardized and Secure Mobile Health Services Based on Social Media

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2208
Author(s):  
Jesús D. Trigo ◽  
Óscar J. Rubio ◽  
Miguel Martínez-Espronceda ◽  
Álvaro Alesanco ◽  
José García ◽  
...  
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Services ◽  
Small Scale ◽  
Proof Of Concept ◽  
Privacy And Security ◽  
Health Level 7 ◽  
Information Embedding ◽  
Android Applications

Mobile devices and social media have been used to create empowering healthcare services. However, privacy and security concerns remain. Furthermore, the integration of interoperability biomedical standards is a strategic feature. Thus, the objective of this paper is to build enhanced healthcare services by merging all these components. Methodologically, the current mobile health telemonitoring architectures and their limitations are described, leading to the identification of new potentialities for a novel architecture. As a result, a standardized, secure/private, social-media-based mobile health architecture has been proposed and discussed. Additionally, a technical proof-of-concept (two Android applications) has been developed by selecting a social media (Twitter), a security envelope (open Pretty Good Privacy (openPGP)), a standard (Health Level 7 (HL7)) and an information-embedding algorithm (modifying the transparency channel, with two versions). The tests performed included a small-scale and a boundary scenario. For the former, two sizes of images were tested; for the latter, the two versions of the embedding algorithm were tested. The results show that the system is fast enough (less than 1 s) for most mHealth telemonitoring services. The architecture provides users with friendly (images shared via social media), straightforward (fast and inexpensive), secure/private and interoperable mHealth services.

A Survey on Document-level Neural Machine Translation

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Sameen Maruf ◽  
Fahimeh Saleh ◽  
Gholamreza Haffari
Keyword(s):  
Machine Translation ◽  
Language Processing ◽  
Research Field ◽  
Translation Process ◽  
Future Directions ◽  
Translation Quality ◽  
Current State ◽  
Evaluation Strategies ◽  
Almost All ◽  
Document Level

Machine translation (MT) is an important task in natural language processing (NLP), as it automates the translation process and reduces the reliance on human translators. With the resurgence of neural networks, the translation quality surpasses that of the translations obtained using statistical techniques for most language-pairs. Up until a few years ago, almost all of the neural translation models translated sentences independently , without incorporating the wider document-context and inter-dependencies among the sentences. The aim of this survey article is to highlight the major works that have been undertaken in the space of document-level machine translation after the neural revolution, so researchers can recognize the current state and future directions of this field. We provide an organization of the literature based on novelties in modelling and architectures as well as training and decoding strategies. In addition, we cover evaluation strategies that have been introduced to account for the improvements in document MT, including automatic metrics and discourse-targeted test sets. We conclude by presenting possible avenues for future exploration in this research field.

scholarly journals Diabetic Retinopathy Screening and Registration in Europe—Narrative Review

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 745
Author(s):  
Elitsa Hristova ◽  
Darina Koseva ◽  
Zornitsa Zlatarova ◽  
Klara Dokova
Keyword(s):  
Diabetic Retinopathy ◽  
Healthcare Services ◽  
The European Union ◽  
Specialist Care ◽  
Screening Programs ◽  
Diabetic Retinopathy Screening ◽  
Remote Assessment ◽  
Narrative Literature ◽  
Narrative Literature Review ◽  
Almost All

Diabetic retinopathy (DR) is a leading cause of preventable vision impairment and blindness in the European Region. Despite the fact that almost all European countries have some kind of prophylactic eye examination for people with diabetes, the examinations are not properly arranged and are not organized according to the principles of screening in medicine. In 2021, the current COVID-19 pandemic moved telemedicine to the forefront healthcare services. Due to that, a lot more patients could benefit from comfortable and faster access to ophthalmology specialist care. This study aimed to conduct a narrative literature review on current DR screening programs and registries in the European Union for the last 20 years. With the implementation of telemedicine in daily medical practice, performing screening programs became much more attainable. Remote assessment of retinal pictures simultaneously saves countries time, money, and other resources.

scholarly journals Google Play Content Scraping and Knowledge Engineering using Natural Language Processing Techniques with the Analysis of User Reviews

2020 ◽  
Vol 30 (1) ◽  
pp. 192-208 ◽  
Author(s):  
Hamza Aldabbas ◽  
Abdullah Bajahzar ◽  
Meshrif Alruily ◽  
Ali Adil Qureshi ◽  
Rana M. Amir Latif ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Language Processing ◽  
Mobile Application ◽  
Knowledge Engineering ◽  
Machine Learning Algorithms ◽  
Application Development ◽  
User Reviews ◽  
N Gram ◽  
Logistic Regression Algorithm ◽  
Google Play

Abstract To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral.

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