Standard ML models on EHR and SDoH features achieve AUC 0.81 to 0.82 for predicting ED visits in T2D patients without hypertension, but encounter-derived features may leak the outcome.
Chronic Conditions among Older Americans
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.QM 1years
2024 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Predicting Emergency Department Visits for Patients with Type II Diabetes
Standard ML models on EHR and SDoH features achieve AUC 0.81 to 0.82 for predicting ED visits in T2D patients without hypertension, but encounter-derived features may leak the outcome.