Improved Ensemble Classification Method for Thyroid Disease Using Data Mining Technologies

Data mining plays an important role in various healthcare services. The most complicated task is to identify the disease and diagnosing it at a prompt phase. One of the most important functions of the health-care providers is to diagnose illness and save lives. The main aim of any healthcare domain is to discover and diagnose the disease at premature stages with higher accuracy. For providing the treatment in low cost, data mining is considered as the best technique. In healthcare industry, the usage of automated diagnostic systems has become more common in recent years. These systems offer several advantages in the diagnosis process. This paper will explain the aspects of Feature Engineering to solve the problem of dealing with large data sets. Also, the proposed research work has used the concept of feature engineering to solve the issue of large data sets with the algorithm of Instance Selection that combines the two algorithms of Instance Selection using drop1 algorithm and Instance Selection algorithm using Boosting.