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  1. Analysis of data mining for classification of Obstructive Sleep Apnea in chronic obstructive pulmonary disease patients
  2. Classification of Diabetic Retinopathy using shallow learning approach
  3. Kernel PCA and SVM-RFE based feature selection for classification of dengue microarray dataset
  4. Cluster analysis in prediction of biological activity and molecular structure relationship of dipeptidyl peptidase-4 inhibitors for the type two diabetes mellitus treatment
  5. Comparison of supervised models in hepatocellular carcinoma tumor classification based on expression data using principal component analysis (PCA)
  6. The comparison of machine learning methods for prediction study of type 2 diabetes mellitus’s drug design
  7. Classification analysis using support vector machine, decision tree, and neural network with principal component analysis to determine molecular structure relationship from its biological activity on dipeptidyl peptidase IV inhibitors
  8. Texture and Gene Expression Analysis of the MRI Brain in Detection of Alzheimer’s Disease