Ontology highlight
ABSTRACT:
SUBMITTER: Zhou F
PROVIDER: S-EPMC9885429 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Zhou Fang F Gillespie Avrum A Gligorijevic Djordje D Gligorijevic Jelena J Obradovic Zoran Z
Journal of biomedical informatics 20200415
The accurate prediction of progression of Chronic Kidney Disease (CKD) to End Stage Renal Disease (ESRD) is of great importance to clinicians and a challenge to researchers as there are many causes and even more comorbidities that are ignored by the traditional prediction models. We examine whether utilizing a novel low-dimensional embedding model disease2disease (D2D) learned from a large-scale electronic health records (EHRs) could well clusters the causes of kidney diseases and comorbidities ...[more]