Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...
As health plan leaders seek to close care gaps and improve member experience, it’s time to shift the paradigm of missed care from a failure to an opportunity for impact. Missed appointments are a ...
The analysis included 109,328 patients and 1,118,236 appointments, including 77,322 and 75,545 (6.9 and 6.8%) no-shows and late cancellations, respectively. HealthDay News — The gradient boost model ...
Whittington Health NHS Trust is urging patients who cannot get to appointments to let staff know so other people can benefit, following new ...
Women who miss their initial breast cancer screening appointment face a significantly elevated risk of dying from the disease, new research has revealed. Scientists found that skipping this crucial ...
Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing factors of no-shows and late cancelations in primary care practices. They ...
Gradient boost model achieves best performance for predicting no-shows and late cancellations in primary care practices. HealthDay News — The gradient boost model achieves the best performance for ...
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