Using Structural Equation Modelling in Routine Clinical Data on Diabetes and Depression: Observational Cohort Study.

Amy Ronaldson Mark Freestone Haoyuan Zhang William Marsh Kamaldeep S Bhui

Published in: JMIRx med (2022)

Some established clinical associations were successfully modelled in a sample of patients with type 2 diabetes in a way that made clinical sense, providing partial evidence for the utility of SEM in routine clinical data. Several issues relating to data quality emerged. Data improvement would have likely enhanced the utility of SEM in this data set.

Keyphrases

electronic health record
big data
cardiovascular disease
type diabetes
depressive symptoms
metabolic syndrome
deep learning
sleep quality