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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| Main Authors: | , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
2023
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| In: |
BMC health services research
Year: 2023, Volume: 23, Pages: 1-12 |
| ISSN: | 1472-6963 |
| DOI: | 10.1186/s12913-023-09473-w |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12913-023-09473-w
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| Author Notes: | Anna Reuter, Šime Smolić, Till Bärnighausen and Nikkil Sudharsanan |
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Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European Countries
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