Evaluation of the Deep Learning-Based m-Health Application Using Mobile App Development and Assessment Guide

Diabetes mellitus is known as one of the fatal diseases and affects a large number of people all throughout the world. Apparently, a timely diagnosis of the condition is very important for effective treatment. A deep learning algorithm, which is a subset of machine learning, was utilized to predict diabetes mellitus. The predicting model with a 93% accuracy was deployed in the mobile-health (m-health) application called DMChecker. Nowadays, m-health solutions have evolved at an exponential rate with absolutely little oversight or regulation. Thus, the main purpose of this study was to evaluate the quality of the designs and development of the m-health application using a mobile app development and assessment guide or MAG. With a 4.68 overall weighted mean from the perceptions of the evaluators, the m-health application complied and addressed mostly the standard regulations.