![]() Furthermore, many challenges and issues may arise during app development. Considerable time is required from researchers and developers to learn and master such knowledge because of the different characteristics, requirements, and components of each mobile app. Developing high-quality intelligent self-management mHealth apps requires substantial knowledge of mobile programming languages, app architectures, design patterns, and latest technologies. Such apps are characterized by personalized services and recommendations and by the automatic logging and recognition of individuals’ behaviors and activities.Īlthough mobile apps are extensively used for self–health care management, the ongoing development of mobile device technologies and programming languages has increased the need for mobile app solutions to keep pace with development practices. The power of self-management mHealth apps has increased with the use of built-in mobile technologies (eg, cameras, GPS, and accelerometers) and machine learning (ML) algorithms to create intelligent mobile apps. They comprise different categories, ranging from simple apps for water intake tracking to complex apps that can adapt to individuals’ lives based on their activities. ![]() ![]() Self-management mobile health (mHealth) apps use mobile devices for health services and offer a sustainable means of enhancing self–health care management to achieve wellness goals, such as health monitoring, disease detection, behavior change, and emotion management, enabling individuals to independently manage their lives and activities and make appropriate decisions. ![]()
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