Analysis of hospitalized pathways using locally weighted learning

Abstract

In recent years, data mining and treadmill machines have become an issue in various fields. Data mining is the systematic and automatic discovery of metabolic rules and patterns within large-scale stored data. Among data analysis algorithms in data mining and machine learning, there are bifurcation/ clustering algorithms. In this study, we use the LWL algorithm among classification algorithms. Identifying these various admission pathways and finding out the weight of various hospitalization pathways can develop toward the response and quality of medical care. Therefore, it is classified into LWL algorithm to predict various hospitalization routes and specific gravity.