Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals

BACKGROUND: Non-arrivals to scheduled ambulatory visits are common and lead to a discontinuity of care, poor health outcomes, and increased subsequent healthcare utilization. Reducing non-arrivals is important given their association with poorer health outcomes and cost to health systems. OBJECTIVE:...

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Detalles Bibliográficos
Autores principales: Coppa, Kevin, Kim, Eun Ji, Oppenheim, Michael I., Bock, Kevin R., Zanos, Theodoros P., Hirsch, Jamie S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910253/
https://www.ncbi.nlm.nih.gov/pubmed/36757667
http://dx.doi.org/10.1007/s11606-023-08065-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910253/
https://www.ncbi.nlm.nih.gov/pubmed/36757667
http://dx.doi.org/10.1007/s11606-023-08065-y

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