Analysis on diabetes patients using Pearson, cost optimization, control chart

In this paper, we have taken some important factors for health parameters of diabetes patients especially in children by birth (pediatric congenital). We use three metrics methods we are going to assess the importance of each attributes in the dataset and thereby determining the most highly responsible and co-related attribute causing diabetics among young patients. Cost optimization, Spearmen methodologies, and control chart for the real-time application to find the data efficiency in these dataset related to diabetes. The Spearmen methodology is the correlation methodologies used in Software development process to identify the complexity between the various modules of the software. Identifying the complexity is important because if the complexity is higher then there is a higher chance of occurrence of the risk in the software. With the use of a control, chart means, variance and standard deviation of data are calculated. With the use of Cost optimization model, we find to optimize the variables. Hence we choose the Spearmen, control chart and cost optimization methods to assess the data efficiency in diabetes datasets.