Realizing An Efficient IoMT -Assisted Patient Diet Recommendation System Through Machine Learning Model

The main objective of realizing an efficient IoMT-assisted patient diet recommendation system through a machine learning model is to leverage the power of IoMT technology and machine learning algorithms to develop a system that accurately analyzes patient data, including health parameters and dietary preferences, and provides personalized and effective diet recommendations for improved patient health outcomes. By integrating IoMT and machine learning, the system aims to optimize and automate the process of dietary guidance, enhancing patient compliance and overall well-being.