An Improved Framework for Drug-side effect Associations Prediction via Counterfactual Inference-based Data Augmentation

Abstract:

Detecting side effects of drugs is a fundamental task in drug development. With the expansion of publicly available biomedical data, researchers have proposed many computational methods for predicting drug-side effect associations (DSAs), among which network-based methods attract wide attention in the biomedical field. However, the problem of data scarcity poses …