From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting.
- DOI
- 10.1093/jamiaopen/ooag151
- Published
- 2026 Aug
- Container
- JAMIA open
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/jamiaopen/ooag151,
title = {From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting.},
author = {McMahon M and Kluckert J and Donati OF and Perez Gonzalez NA and Kinkead L and Blüthgen C and Hötker A and Frauenfelder T and Krauthammer M},
year = {2026},
journal = {JAMIA open},
doi = {10.1093/jamiaopen/ooag151},
url = {https://doi.org/10.1093/jamiaopen/ooag151}
}RIS
TY - JOUR TI - From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting. AU - McMahon M AU - Kluckert J AU - Donati OF AU - Perez Gonzalez NA AU - Kinkead L AU - Blüthgen C AU - Hötker A AU - Frauenfelder T AU - Krauthammer M PY - 2026 JO - JAMIA open DO - 10.1093/jamiaopen/ooag151 UR - https://doi.org/10.1093/jamiaopen/ooag151 ER -
APA
M, M., J, K., OF, D., NA, P. G., L, K., C, B., A, H., T, F., & M, K. (2026). From prediction to practice: machine learning models and real-world interventions for magnetic resonance imaging appointment no-shows in a hospital setting.. JAMIA open. https://doi.org/10.1093/jamiaopen/ooag151
Source records
- pubmed · retrieved 2026-09-25T01:23:23.924Z