Machine learning approaches to predicting no-shows in pediatric medical appointment

Patients’ no-shows, scheduled but unattended medical appointments, have a direct negative impact on patients’ health, due to discontinuity of treatment and late presentation to care. They also lead to inefficient use of medical resources in hospitals and clinics. The ability to predict a likely no-s...

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Detalles Bibliográficos
Autores principales: Liu, Dianbo, Shin, Won-Yong, Sprecher, Eli, Conroy, Kathleen, Santiago, Omar, Wachtel, Gal, Santillana, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021231/
https://www.ncbi.nlm.nih.gov/pubmed/35444260
http://dx.doi.org/10.1038/s41746-022-00594-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021231/
https://www.ncbi.nlm.nih.gov/pubmed/35444260
http://dx.doi.org/10.1038/s41746-022-00594-w

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