Predicting Likelihood of Missed Appointments in Primary Care [Health care informatics]
Annals of Family Medicine
NOVEMBER 20, 2024
Study Design and Analysis Retrospective, longitudinal study using electronic health records. Intervention/Instrument A multiclass random forest (RF) method for risk prediction was utilized. Setting Family medicine clinics in an academic medical center in southcentral Pennsylvania. The RF models had an AUROC of 0.87 for CA, 0.85
Let's personalize your content