: A mathematical technique used to simplify large datasets by creating new, uncorrelated variables that capture the most variance.

: They act as intermediaries for private insurers and end-payers to manage prescription drug programs.

: Papers like "SF-Rx: A Multioutput Deep Neural Network-Based Framework" utilize advanced neural networks for drug-drug interaction prediction, often using dimensionality reduction techniques like PCA to process large biological datasets.