RT Journal Article
T1 A Recommender System Approach for Predicting Drug Side Effects
A1 Galeano Galeano, Diego Ariel
A1 Paccanaro, Alberto
AB 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.
YR 2018
FD 2018
LK http://hdl.handle.net/20.500.14066/2996
UL http://hdl.handle.net/20.500.14066/2996
LA eng
NO CONACYT – Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 24-nov-2024