Preliminary result on finding treatments for patients with comorbidity

Abstract

According to some research, comorbidity is reported in 35 to 80% of all ill people [1]. Multiple guidelines are needed for patients with comorbid diseases. However, it is still a challenging problem to automate the application of multiple guidelines to patients because of redundancy, contraindicated, potentially discordant recommendations. In this paper, we propose a mathematical model for the problem. It formalizes and generalizes a recent approach proposed by Wilk and colleagues. We also demonstrate that our model can be encoded, in a straightforward and simple manner, in Answer Set Programming (ASP)-a class of Knowledge Representation languages. Our preliminary experiment also shows our ASP based implementation is efficient enough to process the examples used in the literature.