Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department.
- DOI
- 10.3390/diagnostics12102463
- Published
- 2022 Oct 11
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics12102463,
title = {Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department.},
author = {Sax DR and Sturmer LR and Mark DG and Rana JS and Reed ME},
year = {2022},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics12102463},
url = {https://doi.org/10.3390/diagnostics12102463}
}RIS
TY - JOUR TI - Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department. AU - Sax DR AU - Sturmer LR AU - Mark DG AU - Rana JS AU - Reed ME PY - 2022 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics12102463 UR - https://doi.org/10.3390/diagnostics12102463 ER -
APA
DR, S., LR, S., DG, M., JS, R., & ME, R. (2022). Barriers and Opportunities Regarding Implementation of a Machine Learning-Based Acute Heart Failure Risk Stratification Tool in the Emergency Department.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics12102463
Source records
- pubmed · retrieved 2026-09-26T10:48:37.224Z