… molecular descriptors from the chemical structure, permeability and solubility related
parameters. The QSAR models (in the form of decision trees) used in this work were validated by …

… [22] used decision tree-based learning algorithms to predict analgesic consumption and
Patient Controlled Analgesia (PCA) control readjustment based on the first few hours of PCA …

… Following cluster analysis, data classification was performed by employing the decision tree
algorithm. A relevant decision tree, with the cluster label as class label, was built in order to …

… us to obtain the classification tree (CT). In this wok, a decision tree is developed to classify
the … to estimate solubility and permeability in drug discovery and development settings1. Adv. …

… solubility–high permeability, low solubility–high permeability, … a simple decision tree and
tested to predict BCS permeability … decision tree’s criterion was the number of high permeability …

… to modify drug solubility, release/dissolution rate, permeability and/… Solubility or permeability
enhancing formulations use … API solubility/dissolution (eg salt forms, inclusion of solubility or …

… , guidance maps, and decision trees to the most complex … permeable and soluble, class
II has high permeability but low solubility, whereas class III is opposite with high solubility …

… soluble rock matrix components (sodium chloride and other ionic compounds) and an increase
in porosity and permeability … Decision tree algorithm exploited in this work is implemented …

… solubility and intestinal permeability into four categories (I to IV) [20]. The classification of
drugs into distinct classes enables a systematic understanding of drug behavior. Furthermore, …

… , the Decision Tree is chosen as the base_estimator and the number of base estimators is
1000. … In this work, the Decision Tree is also chosen as the base_estimator and the number of …