A Cloud Mobile-Based Information Retrieval and Optimal Route Service Delivery System for Aiding the Treatment of Diabetic Patients in Nigeria

Akingbesote Alalba .O.

A Cloud Mobile-Based Information Retrieval and Optimal Route Service Delivery System for Aiding the Treatment of Diabetic Patients in Nigeria

Akingbesote Alalba .O. * §

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Adekunle Ajasin University, Akungba-Akoko, Nigeria.

A Cloud Mobile-Based Information Retrieval and Optimal Route Service Delivery System for Aiding the Treatment of Diabetic Patients in Nigeria

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Abstract

Diabetes is considered as one of the most incurable diseases in the world. Studies have shown that at least fourteen million, four hundred and six thousand Nigerians are currently living with the incurable disease. Several researchers have proposed the use of mobile technology to aid diabetes treatment, but challenges such as time taken for physicians to attend to patients due to unavailable Information and problems associated with location of hospitals are recurrent. This research approached these challenges by developing a cloud mobile-based Information retrieval and optimal route service delivery system for aiding the treatment of diabetic patients in Nigeria. This was achieved using Java API to run on Android OS. Each user registers and fills necessary information on this application once.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Akingbesote Alalba .O.. 2019. "A Cloud Mobile-Based Information Retrieval and Optimal Route Service Delivery System for Aiding the Treatment of Diabetic Patients in Nigeria". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 19 (GJCST Volume 19 Issue B2).

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GJCST Volume 19 Issue B2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-B Classification C.2.4

Submission ReceivedDecember 6, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

October 18, 2019

Language

English

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Article Matrices

Total Score: 141

Country: Nigeria

Subject: Global Journal of Computer Science and Technology

Authors: Akingbesote Alalba .O. (PhD/Dr. count: 0)

View Count (all-time): 507

Total Views (Real + Logic): 2140

Total Downloads (simulated): 104

Publish Date: 2019 01, Tue

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Total Views: 2.1K

Total Downloads: 104

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