From modeling dose-response relationships to improved performance of decision-tree classifiers for predictive toxicology of nanomaterials

Keyphrases

• Performance Improvement 100%
• Dose-response 100%
• Decision Tree Classifier 100%
• Nanomaterials 100%
• Dose-response Relationship 100%
• Predictive Toxicology 100%
• Engineered Nanomaterials 100%
• Toxicity Data 100%
• Balanced Data 100%
• Decision Tree 50%
• Predictive Models 50%
• Parameter-free 50%
• Continuous Sequence 50%
• Machine Learning Classifiers 50%
• Environmental Research 50%
• Response Methods 50%
• Decision Tree Model 50%
• Adjusted R2 50%
• Dose-response Model 50%
• Health Research 50%
• Fitting Curve 50%
• Minority Class 50%
• Synthetic Minority Oversampling Technique (SMOTE) 50%
• Chemical Toxicity 50%
• Nanoparticle Toxicity 50%
• Free Parameter Model 50%
• Nanoparticle Toxicology 50%

Pharmacology, Toxicology and Pharmaceutical Science

• Tree 100%
• Nanomaterial 100%
• Dose-Response Relationship 100%
• Experimental Toxicity 50%
• Nanoparticle 25%
• Chemical Toxicity 25%
• Nanoparticle Toxicology 25%

Chemical Engineering

• Nanoparticle 100%
• Learning System 50%