A Novel Scheme for Predicting Type 2 Diabetes in Women: Using Kmeans with Pca as Dimensionality Reduction

Disease diagnosis is one of the applications where machine learning algorithms are giving successful results. Different classifiers can be used to explore patients’ data and extract a predictive model. Machine learning algorithms can provide reliable performance in determining diabetes mellitus. PIMA Indian Dataset consists of women’s records. The risk of developing diabetes in Women is quite high. Hence, the idea is to Detect and Predict this Disorder with the help of Machine Learning techniques. In this study firstly PCA is used as dimensionality reduction and then KMeans is used to cluster the data set. The prime objective of this research work is to provide a better classification of diabetes. The experimental results show the performance of this work on PIDD.