Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data.

ABSTRACT: Tools from network science can be utilized to study relations between diseases. Different studies focus on different types of inter-disease linkages. One of them is the comorbidity patterns derived from large-scale longitudinal data of hospital discharge records. Researchers seek to describe comorbidity relations as a network to characterize pathways of disease progressions and to predict future risks. The first step in such studies is the construction of the network itself, which subsequent analyses rest upon. There are different ways to build such a network. In this paper, we provide an overview of several existing statistical approaches in network science applicable to weighted directed networks. We discuss the differences between the null models that these models assume and their appli

SUBMITTER: Fotouhi B 

PROVIDER: S-EPMC6223974 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature