Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries

BACKGROUND: Pandemics such as the COVID-19 pandemic and other severe health care disruptions endanger individuals to miss essential care. Machine learning models that predict which patients are at greatest risk of missing care visits can help health administrators prioritize retentions efforts towar...

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Detalles Bibliográficos
Autores principales: Reuter, Anna, Smolić, Šime, Bärnighausen, Till, Sudharsanan, Nikkil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209940/
https://www.ncbi.nlm.nih.gov/pubmed/37231416
http://dx.doi.org/10.1186/s12913-023-09473-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209940/
https://www.ncbi.nlm.nih.gov/pubmed/37231416
http://dx.doi.org/10.1186/s12913-023-09473-w

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