Edward O. Uche-Nwachi

Work place: Department of Computer Science and Informatics, Alex Ekwueme Federal University, Ndufu-Alike, Nigeria

E-mail: ucherose2001@yahoo.com

Website:

Research Interests: Computer systems and computational processes, Data Mining, Geographic Information System, Information Retrieval, Data Structures and Algorithms

Biography

Uche-Nwachi Edward pursued a Bachelor of Science (Computer Science and Management) and Master of Science (Geoinformatics) from the University of the West Indies, Trinidad and Tobago. He is currently pursuing a Ph.D. and is a lecturer at the Department of Computer Science and Informatics at Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State, Nigeria. He worked previously at Republic Bank of Trinidad as a Data Analyst and Programmer. He is a member of the Association of Computer Professionals (UK) and Nigeria Computer Society. He has published more than four research papers in a reputed international journal. His research work focuses on Online voting, Computer-Based Forecasting, Using Object Orientation Programming (OOP) to Model Geographic Information systems (GIS), IoT, Data Mining, and Data Analytics. He has 4 years of teaching experience and 5 years of research experience.

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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