A recommender system for antimicrobial resistance

Abstract

We have developed a method for prediction of antimicrobial resistance by representing the antibiogram and associated metadata in the matrix form, determining parameter of matrix factorization, i.e., the number of the latent factors, carrying out matrix factorization of the initial association matrix and construction of the new association matrix containing predictions of the associations between multiple samples antibiogram and associated metadata.