ItemArticle

Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm

Title
Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm
Creator
Gupta K.; Roy S.; Altameem A.; Kumar R.; Saudagar A.K.J.; Poonia R.C.
Description
The rapid growth of mHealth applications for Type 2 Diabetes Mellitus (T2DM) patients self-management has motivated the evaluation of these applications from both the usability and user point of view. The objective of this study was to identify mHealth applications that focus on T2DM from the Android store and rate them from the usability perspective using the MARS tool. Additionally, a classification of these mHealth applications was conducted using the ID3 algorithm to identify the most preferred application. The usability of the applications was assessed by two experts using MARS. A total of 11 mHealth applications were identified from the initial search, which fulfilled our inclusion criteria. The usability of the applications was rated using the MARS scale, from 1 (inadequate) to 5 (excellent). The Functionality (3.23) and Aesthetics (3.22) attributes had the highest score, whereas Information (3.1) had the lowest score. Among the 11 applications, mySugr had the highest average MARS score for both Application Quality (4.1/5) as well as Application Subjective Quality (4.5/5). Moreover, from the classification conducted using the ID3 algorithm, it was observed that 6 out of 11 mHealth applications were preferred for the self-management of T2DM. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Source
International Journal of Environmental Research and Public Health, Vol-19, No. 12
Date
2022-01-01
Publisher
MDPI
Subject
decision making; ID3; MARS; mHealth applications; T2DM; usability
Coverage
Gupta K., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India
Rights
All Open Access; Gold Open Access; Green Open Access
Relation
ISSN: 16617827; PubMed ID: 35742248
Format
Online
Language
English
Type
Article

Collection

Articles

Citation

Gupta K.; Roy S.; Altameem A.; Kumar R.; Saudagar A.K.J.; Poonia R.C., “Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/15066.

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