Intelligent health monitoring is a necessity in today’s era to enable continuous monitoring and more accurate diagnosis. To achieve this objective, deep learning models play a vital role. Deep learning includes preprocessing of health data and feature extraction to enable classification tasks, and then the classification performance is evaluated using standard metrics. This paper provides a comprehensive review of the applications of deep learning in disease prediction and its continuous monitoring. It emphasises the key advancements achieved through the application of deep learning to healthcare data. In addition, it highlights prominent research challenges associated with the development of intelligent health monitoring systems.