ABSTRACT
The espousal of artificial intelligence with nanocomputing or Internet of Things opened another chapter in the ever-growing technology industry in the form of Industry 4.0. The medical field is still a growing industry, especially in the case of nanocomputing. The amalgamation of the two dominant technologies-machine learning, which has the ability to find complex relationships within the huge data, and nanocomputing, which is capable of encompassing the physical processes to computational methods-can be considered another novel approach for the early detection of medical diseases and data communication. The authors applied decision table DT-based predictive models with the implementation of C5 and bagging techniques for classification, and their proposed model could achieve an accuracy of 86.52%. The application of nanorobots in the domain of healthcare has become popular in the last few years because of their ability to identify diseases with least preconception to the healthy cells and curing with reconstructive treatment at the molecular level.
