Ontology highlight
ABSTRACT:
SUBMITTER: Vandromme M
PROVIDER: S-EPMC7043281 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Vandromme Maxence M Jun Tomi T Perumalswami Ponni P Dudley Joel T JT Branch Andrea A Li Li L
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 20200101
Non-alcoholic fatty liver disease (NAFLD) is a complex heterogeneous disease which affects more than 20% of the population worldwide. Some subtypes of NAFLD have been clinically identified using hypothesis-driven methods. In this study, we used data mining techniques to search for subtypes in an unbiased fashion. Using electronic signatures of the disease, we identified a cohort of 13,290 patients with NAFLD from a hospital database. We gathered clinical data from multiple sources and applied un ...[more]