Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. (arXiv:2209.10043v1 [cs.LG])

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable
timely therapeutic interventions and lifestyle modifications. As medical
imaging data become more widely available for many patient populations, we
sought to investigate whether image-derived phenotypic data could be leveraged
in tabular learning classifier models to predict T2DM incidence without the use
of invasive blood lab measurements. We show that both neural network and
decision tree models that use image-derived phenotypes can predict patient T2DM
status with recall scores …

arxiv diabetes image prediction type