Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk
Objective: Obesity is a significant risk factor for adverse outcomes following coronavirus infection (COVID-19). However, BMI fails to capture differences in the body fat distribution, the critical driver of metabolic health. Conventional statistical methodologies lack functionality to investigate t...
Main Authors: | T. Waddell, A. I. L. Namburete, P. Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, M. Brady |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-05-01
|
Series: | Frontiers in Bioinformatics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fbinf.2023.1163430/full |
Similar Items
-
Poor glycaemic control and ectopic fat deposition mediates the increased risk of non-alcoholic steatohepatitis in high-risk populations with type 2 diabetes: Insights from Bayesian-network modelling
by: T. Waddell, et al.
Published: (2023-02-01) -
Widening Access to Bayesian Problem Solving
by: Nicole Cruz, et al.
Published: (2020-04-01) -
Rethinking hospitalisations for substance use disorders
by: Daniele Zullino
Published: (2018-10-01) -
Primary care and avoidable hospitalisation for diabetes
by: Tessa van Loenen, et al.
Published: (2013-11-01) -
ByNowLife: A Novel Framework for OWL and Bayesian Network Integration
by: Foni A. Setiawan, et al.
Published: (2019-03-01)