Optimizing Bruxism, Insomnia, PLM, and RBD sleep disorder identification techniques though Tableau

Abstract

In the development of technology, new branches of solving various problems have arisen. These branches are not only helpful in solving those problems, but it also brings out new, special hidden knowledge which opens up new avenues of research. In the developed countries, these new branches of technology have taken research to a new level in every field, whether it is in the field of education, in the field of health or in the field of business. Data mining has proved to be a milestone in these new branches. With the help of data mining, new and useful results can be extracted from historical, real time large amount of data. In this research paper, data mining has been used to understand human sleep disorders. This experiment claims to be superior to the multidimensional methods currently being used to test sleep disorders. This research plays an important role in understanding sleep disorders such as Bruxism, Insomnia, Periodic Leg Movement and RBD.