Multilabel and Missing Label Methods for Binary Quantitative Structure-Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions.
José Pérez-Parras ToledanoNicolás García-PedrajasGonzalo Cerruela GarcíaPublished in: J. Chem. Inf. Model. (2019)
Keyphrases
- multi label
- multi label classification
- machine learning methods
- multilabel classification
- quantitative structure activity
- graph cuts
- instance based learning
- data mining
- statistical methods
- label ranking
- machine learning algorithms
- prediction accuracy
- benchmark datasets
- image classification
- probabilistic model
- training data
- drug design
- decision trees