Keyphrases
In Silico
100%
Cardiac Toxicity
100%
Stacking Ensemble
100%
Ensemble Machine Learning Model
100%
HERG
100%
Dynamic Characteristics
66%
Drug-induced Torsades De Pointes
66%
Torsades Des Pointes
66%
Human Ventricular Cell Model
66%
High Risk
33%
Arrhythmias Cardiac
33%
Sudden Cardiac Death
33%
Ion Channels
33%
Low Risk
33%
Risk Assessment
33%
Logistic Regression
33%
Model Vectors
33%
Machine Learning Approach
33%
Support Vector Machine
33%
Risk Classification
33%
Sensitivity Analysis
33%
Clinical Treatment
33%
Risk Prediction
33%
Regression Forest
33%
Machine Learning Models
33%
Artificial Neural Network Model
33%
AUC Score
33%
Inter-individual Variability
33%
Comprehensive in Vitro Proarrhythmia Assay (CiPA)
33%
Intermediate Risk
33%
New Drug Development
33%
Ensemble Machine Learning
33%
XGBoost Model
33%
Model Robustness
33%
Clinical Exposure
33%
Individual Machine
33%
Meta-classifier
33%
Extreme Gradient Boosting(XGBoost)
33%
Computer Science
Machine Learning
100%
Learning System
100%
Extreme Gradient Boosting
66%
Support Vector Machine
33%
Neural Network Model
33%
Influencing Factor
33%
Logistic Regression
33%
Machine Learning Approach
33%
Random Decision Forest
33%
Baseline Model
33%
Inherent Complexity
33%
Artificial Neural Network
33%
Engineering
Learning System
100%
Limitations
50%
Cell Model
50%
Influencing Factor
25%
Random Forest
25%
Artificial Neural Network Model
25%
Learning Approach
25%
Interindividual Variability
25%
Risk Prediction
25%
Support Vector Machine
25%
Mathematics
Logistic Regression
100%
Support Vector Machine
100%
Artificial Neural Network
100%
Biochemistry, Genetics and Molecular Biology
Torsades De Pointes
100%
Support Vector Machine
25%
Sudden Cardiac Death
25%
Artificial Neural Network
25%
Cardiac Dysrhythmia
25%
Random Forest
25%
Ion Channel
25%
Chemical Engineering
Learning System
100%
Neural Network
25%
Support Vector Machine
25%