Abstract
Numerous domains have been transformed by the communication technologies made possible by the
Internet of Things (IoT), one of which is health monitoring systems. Patterns associated with diseases
and health conditions can be identified through the utilization of machine learning and cutting-edge AI
techniques. Currently, scientific endeavours are concentrated on enhancing IoT-enabled applications
such as medical report administration, prescription traceability, and infectious disease surveillance
through the amalgamation of blockchain technology (BCT) and machine learning (ML) models.
Although recent advancements have attempted to increase the adaptability of blockchain (BC) and ML
for IoT applications, there are still a number of crucial considerations that must be made for improved
outcomes. This report provides a comprehensive examination of emerging technologies in the healthcare
sector, encompassing the IoT, and blockchain.
Internet of Things (IoT), one of which is health monitoring systems. Patterns associated with diseases
and health conditions can be identified through the utilization of machine learning and cutting-edge AI
techniques. Currently, scientific endeavours are concentrated on enhancing IoT-enabled applications
such as medical report administration, prescription traceability, and infectious disease surveillance
through the amalgamation of blockchain technology (BCT) and machine learning (ML) models.
Although recent advancements have attempted to increase the adaptability of blockchain (BC) and ML
for IoT applications, there are still a number of crucial considerations that must be made for improved
outcomes. This report provides a comprehensive examination of emerging technologies in the healthcare
sector, encompassing the IoT, and blockchain.
Keywords
Artificial intelligence AI English as a foreign language EFL Bibliometric analysis