Nutritional markers of undiagnosed type 2 diabetes in adults: Findings of a machine learning analysis with external validation and benchmarking.
<h4>Objectives</h4>Using a nationally-representative, cross-sectional cohort, we examined nutritional markers of undiagnosed type 2 diabetes in adults via machine learning.<h4>Methods</h4>A total of 16429 men and non-pregnant women ≥ 20 years of age were analysed from five co...
Main Authors: | Kushan De Silva, Siew Lim, Aya Mousa, Helena Teede, Andrew Forbes, Ryan T Demmer, Daniel Jönsson, Joanne Enticott |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0250832 |
Similar Items
-
Learning health systems using data to drive healthcare improvement and impact: a systematic review
by: Joanne Enticott, et al.
Published: (2021-03-01) -
Enophthalmos as the Initial Systemic Finding of Undiagnosed Metastatic Breast Carcinoma
by: El-Khazen Dupuis J, et al.
Published: (2021-01-01) -
Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies
by: Kushan De Silva, et al.
Published: (2021-09-01) -
Incidental Finding of an Undiagnosed Coarctation of the Aorta Causing Dilated Cardiomyopathy in an Adult
by: Abdalla Ibrahim, et al.
Published: (2017-01-01) -
External Streaming State Abstractions and Benchmarking
by: Sree Kumar, Sruthi
Published: (2021)