Artificial Intelligence Usage and Data Privacy Discoveries within mHealth

8 pages•Published: March 21, 2024

Abstract

Advancements in artificial intelligence continue to impact nearly every aspect of human life by providing integration options that aim to supplement or improve current processes. One industry that continues to benefit from artificial intelligence integration is healthcare. For years now, elements of artificial intelligence have been used to assist in clinical decision making, helping to identify potential health risks at earlier stages, and supplementing precision medicine. An area of healthcare that specifically looks at wearable devices, sensors, phone applications, and other such devices is mobile health (mHealth). These devices are used to aid in health data collection and delivery. This paper aims at addressing the current uses and challenges of artificial intelligence within the mHealth field as well as an overview of current methods to help provide patient data privacy during data collection and storage.

Keyphrases: Artificial Intelligence, Federated Learning, k-anonymity, machine learning

In: Ajay Bandi, Mohammad Hossain and Ying Jin (editors). Proceedings of 39th International Conference on Computers and Their Applications, vol 98, pages 61--68

Links:	https://easychair.org/publications/paper/b6z2
	https://doi.org/10.29007/m9vx