Akaninyene Udo Ntuen

Work place: Department of Computer Science, Akanu Ibiam Federal Polytechnic, Unwana, Nigeria

E-mail: auntuen@akanuibiampoly.edu.ng

Website:

Research Interests: Software Engineering, Autonomic Computing, Information Security, Network Security, Concurrent Computing

Biography

Akaninyene Ntuen is a highly qualified and skilled computer scientist. He received a Bachelor of Science (BSc) degree from the University of Uyo in 2011 and a Master of Science (MSc) from Anglia Ruskin University in Cambridge, United Kingdom in 2020. He is a lecturer with Akanu Ibiam Federal Polytechnic in Unwana, Nigeria, in the Department of Computer Science. He is the coordinator of the department's examinations and lectures. He is a member of professional bodies and has written books in the field of computer science. Assistive Technologies and Learning with Disabilities, Cloud Computing, IoT, Cyber Security, Databases, and Software Engineering are some of his research interests. He is currently undergoing professional training in the United Kingdom.

Author Articles
An Improved Framework of Healthcare Supports System for the Treatment of Dementia Cases

By Akaninyene Udo Ntuen John Edet Efiong Eme Ogwo Edward O. Uche-Nwachi

DOI: https://doi.org/10.5815/ijieeb.2021.06.04, Pub. Date: 8 Dec. 2021

This research proposes an improved framework that would support the healthcare services and attention given to dementia patients. The paper shows the design and implementation of a web-based application that demonstrates the proposed framework. This study was necessitated by the observed flaws and weaknesses in the current manual technique of handling dementia cases in care homes which are plagued with loss of records, time wastage in retrieving records, data insecurity, user entry and data management errors, among others. The system design was realized using the unified modeling language (UML) on EdrawMax. The frontend implementation was done using HTML5, CSS3, and JavaScript, while the business logic was achieved using PHP, and the Database was designed with MySQL and managed through PHPMyAdmin. The system was tested by medical practitioners and dementia patients in a select care home. Other tests on browsers’ compatibility and platform interoperability were successful. The result of the study advances technical knowledge in developing medical expert systems using web 2.0 technologies, and promotes academic inquiry in the domain. The demonstration of the framework shows an improvement on the existing techniques which use quasi-automated approach. The proposed model is suitable for supporting efficient management of data of dementia patients.

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