research article
A Recommender System Approach for Predicting Drug Side Effects
Registro en:
10.1109/IJCNN.2018.8489025
Autor
Galeano Galeano, Diego Ariel
Paccanaro, Alberto
Resumen
The accurate identification of drug side effects represents a major concern for public health. We propose a collaborative filtering model for large-scale prediction of drug side effects. Our approach provides side effects recommendations for drugs to safety professionals. The proposed latent factor model relies solely on the public drug-side effect relationships from safety data. CONACYT – Consejo Nacional de Ciencia y Tecnología