scholarly journals Blood Mobile Application: A Blood Transfusion Management Technology

2021 ◽  
Vol 6 (3) ◽  
Keyword(s):  
Blood Transfusion ◽  
Mobile Application ◽  
Innovation Management ◽  
Basic Structure ◽  
Healthcare Facility ◽  
Health Sciences ◽  
Blood Component ◽  
Daily Routine ◽  
Functional Requirements ◽  
Application Development

Objective: Describe the development of the BLOOD mobile application as part of a Development and Innovation Project. Methodology: Methodological study of technological innovation, developed with financial resources from the information technology law: Law No. 8.387/1991 (13), by the Laboratory of Technology in Health and Education of the School of Health Sciences of the University of the State of Amazonas. Results: For the development of the BLOOD mobile application, the basic structure of technological product development was used. The mobile application development lifecycle used was the Scrum Agile model, divided into three phases: planning, development, closing. In the planning phase, the functional and non-functional requirements of the product were defined. The construction phase involved the development of the visual identity, and the development of the product’s features, as well as the integration with existing systems in the healthcare facility. In the closing phase, the tests developed, licenses for use and the product validation process were described. Conclusion: The BLOOD app will bring to the market an innovation in blood transfusion management, a procedure that is still mostly performed empirically by health professionals, as it is a daily routine, especially in large hospitals and blood centers. Descriptors: Health Sciences, Technology, and Innovation Management; Blood Transfusion; Blood Component Transfusion; Health Information Systems;

scholarly journals Plant Bot: Intelligent Plant Application based on ADDIE Model of Instructional Design

2021 ◽  
Vol 328 ◽  
pp. 04010
Author(s):  
Fifin Ayu Mufarroha ◽  
Nizar Amir ◽  
Dian Neipa Purnamasari ◽  
Yudha Dwi Putra Negara
Keyword(s):  
Public Health ◽  
Mobile Application ◽  
Physical Activities ◽  
Functional Requirements ◽  
Application Development ◽  
Educational Materials ◽  
Development Life Cycle ◽  
Addie Model ◽  
Food Needs

Plant Bot is a mobile application is used as an aid for beginners and professionals to undertake farming activities. Users can use this app as a reminder of the time watering plants, and can add information to know the characteristics and handling of various plants. The purpose of this study is to improve the quality of public health by encouraging people to carry out physical activities in the midst of a pandemic and consume nutritious foods such as vegetables without preservatives from planting. There are 3 target users of the application, including students for educational materials, the general public to fulfill their food needs by farming and Advanced/Professional users such as farmers who want to make farming easier. The application development refers to the stages of the development life cycle in the ADDI model. The application that has been built has been running well, as evidenced by the results of testing based on functional requirements that can function as a whole.

Augmented reality for the treatment of arachnophobia: exposure therapy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julio Ore ◽  
Alex Pacheco ◽  
Edwin Roque ◽  
Andy Reyes ◽  
Liz Pacheco
Keyword(s):  
Augmented Reality ◽  
Mobile Application ◽  
Exposure Therapy ◽  
Point Of View ◽  
Functional Requirements ◽  
Application Development ◽  
Content Type ◽  
Development Methodology ◽  
Specific Object ◽  
Two Phases

Purpose People who suffer from phobias try to avoid a specific object or feared situation by creating a great obstacle that causes serious consequences in their daily life; the most effective way to deal with a phobia is through exposure therapy, which according to one of the most important principles of psychology states that to overcome a fear you have to face it. The purpose of this paper is to develop a mobile application based on augmented reality (AR) for the treatment of spider phobia (Araneae). Design/methodology/approach The application development methodology was divided into two phases: design where sketches were made according to functional requirements, and the client server model was used for user queries and the development phase where the modules for the information of the phobia; and visualization of the arachnid in different morphological forms was implemented through the development tools. Findings The findings of this study, in this sense, state that it was possible to overcome the phobia in an essential way by ceasing to perceive harmless things as dangerous, helping them to manage stress and keep them under control. Originality/value Allowing to face their fears in support of existing therapeutic processes through images with progressively AR, being an innovative and accessible treatment from an economic, technological and professional point of view.

An Integrated Approach for a Knowledge-based Clinical Workstation: Architecture and Experience

1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Patient Care ◽  
Hospital Information Systems ◽  
Medical Decision ◽  
Daily Routine ◽  
Functional Requirements ◽  
Support Functions ◽  
Knowledge Based ◽  
Clinical Workstation

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

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.

Development of “My Retainers” mobile application: Triangulation of two qualitative methods (Preprint)

2019 ◽  
Author(s):  
Dalya Al-Moghrabi ◽  
Fiorella Beatriz Colonio-Salazar ◽  
Ama Johal ◽  
Padhraig Seamus Fleming
Keyword(s):  
Behaviour Change ◽  
Mobile Applications ◽  
Visual Information ◽  
Mobile Application ◽  
Behavioural Change ◽  
Patient Experiences ◽  
Application Development ◽  
Participant Preferences ◽  
Orthodontic Retainers ◽  
Purposive Sample

BACKGROUND Diligent wear of removable orthodontic retainers requires prolonged compliance and is invariably necessary to preserve optimal results. Patient-informed behaviour-change interventions represent a promising and novel means of enhancing compliance with retainer wear. OBJECTIVE To describe the development of a patient-informed mobile application aimed to enhance retainer wear. METHODS Four aspects were considered during mobile application development: participant preferences; analysis of publicly-available retainer-related posts on Twitter; available interventions; and behaviour-change theories. Audio-recorded one-to-one interviews were conducted with a subset of participants to account for patient preferences in terms of features, design and content. A criterion-based purposive sample of participants wearing vacuum-formed retainers for at least 4 years was used. Thematic analysis of transcribed data was undertaken. RESULTS The need to facilitate communication with the treating clinician, responsive reminder and tracking systems, and access to useful and engaging written and visual information, in addition to other personalised and interactive features were considered important. Concerns related to retainer wear shared on Twitter informed an exhaustive list of frequently-asked questions. Application features were mapped to relevant theoretical constructs. Determinants of existing behavioural change theories were used to link application features to expected outcomes. CONCLUSIONS A holistic process involving both patient and professional input can be useful in informing the development of mobile applications. The orthodontic application (“My Retainers”) will undergo further scrutiny in relation to its effectiveness in inducing behavioural change and concerning patient experiences prior to finalisation.

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.

Sign in / Sign up

Export Citation Format

Share Document