Eme Ogwo

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

E-mail: ogwoeme@yahoo.com

Website:

Research Interests: Computer systems and computational processes, Autonomic Computing, Information Systems, Models of Computation

Biography

Ogwo Eme is currently a lecturer at the Department of Computer Science, Akanu Ibiam Federal Polytechnic, Unwana, Nigeria. He received a Bachelor of Science (B.Sc.) degree in 2004 from Michael Okpara University of Agriculture, Umudike, Nigeria, and a Master of Science (M.Sc.)degree in 2011 from Imo State University, Owerri, Nigeria, all in Computer Science and a Post Graduate Diploma in Education in 2013 from Usman Dan-Fodio University, Sokoto, Nigeria. He conducts research majorly in Computer Science and Computer Education and his research interests include Cloud Computing, Internet of Things (IoT), Information Systems, Computations, and Modelling. He is a member of the Computer Professionals Registration Council of Nigeria, Nigeria Computer Society, and the Teachers Registration Council of Nigeria (TRCN).

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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