Model coefficients from linear mixed effects models for root mean squared errors of the Transfer Learned models.

<p>Model coefficients from linear mixed effects models for root mean squared errors of the Transfer Learned models.</p>

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Bibliographic Details
Main Author:	Helene Bei Thomsen (21627091) (author)
Other Authors:	Livie Yumeng Li (21627094) (author), Anders Aasted Isaksen (15247036) (author), Benjamin Lebiecka-Johansen (21627097) (author), Charline Bour (16842354) (author), Guy Fagherazzi (115092) (author), William P. T. M. van Doorn (10004488) (author), Tibor V. Varga (8136288) (author), Adam Hulman (3533687) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> non evaluate algorithmic fairness 02 ), meaning continuous glucose monitoring using transfer learning 02 [- 0 primarily white patients machine learning models deep learning models transfer learned models potential healthcare disparities available per participant training data size training data created black participants compared 104 black participants white participants increased rmse increased 0 transfer learning training data black participants white participants racial disparities potential value glucose predictions effect models hispanic white 101 white term memory statistically significant rmse slope racial composition minute windows medical studies long short linear mixed jaeb center health research either group different proportions diabetes technologies 9 weeks 20 ).
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