Context-Aware Approaches in IoT-based Healthcare Systems using Deep Learning Techniques: A Study

Health-related technologies are starting to make use of context awareness, a pervasive computing field that has begun to impact healthcare infrastructure. People and healthcare professionals are taking steps to use the Context-Aware Healthcare System (CAHS). The continued popularity of these smart healthcare applications have been greatly attributed to contexts, including user place of residence, time, patient demographics, and past medical records. Furthermore, the contextual needs vary throughout applications. The goal of this research study is to properly comprehend the required context-aware methodologies to develop various healthcare applications by utilizing the data from these preliminary implementations. The experts will also be able to use these outcomes to guarantee that the healthcare systems have contexts that were helpful in the initial implementations. This will help experts to get a better knowledge of the critical contexts employed within distinct subdivisions of context-aware systems for healthcare. This stuy has reviewed IoT-enabled medical care systems using context awareness. This study has also analyzed the examples where patients or healthcare practitioners employed context-aware technologies.