Predicting Likelihood of Missed Appointments in Primary Care [Health care informatics]
Annals of Family Medicine
NOVEMBER 20, 2024
Population Studied Adult patients scheduled for in-person or telehealth visits between 01/2019-06/2023. 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
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