The comparison of machine learning methods for prediction study of type 2 diabetes mellitus’s drug design

Keyphrases

• Machine Learning Techniques 100%
• XGBoost 100%
• Drug Design 100%
• Type 2 Diabetes Mellituss 100%
• Prediction Studies 100%
• Neural Network 66%
• Dipeptidyl peptidase-4 (DPP-4) 66%
• Quantitative Structure-activity Relationship 66%
• Support Vector Regressor 66%
• Type 1 Diabetes Mellitus (T1DM) 33%
• Drug Discovery 33%
• Machine Learning Approach 33%
• Result Prediction 33%
• R-square 33%
• Extreme Gradient Boosting(XGBoost) 33%
• Experimental Values 33%
• Molecular Descriptors 33%

Chemical Engineering

• Learning System 100%
• Neural Network 100%