A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
- DOI
- 10.1186/s12911-018-0620-z
- Published
- 2018-06-22
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-018-0620-z,
title = {A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data},
author = {Sara Bersche Golas and Takuma Shibahara and Stephen Agboola and Hiroko Otaki and Jumpei Sato and Tatsuya Nakae and Toru Hisamitsu and Go Kojima and Jennifer Felsted and Sujay Kakarmath and Joseph Kvedar and Kamal Jethwani},
year = {2018},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-018-0620-z},
url = {https://doi.org/10.1186/s12911-018-0620-z}
}RIS
TY - JOUR TI - A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data AU - Sara Bersche Golas AU - Takuma Shibahara AU - Stephen Agboola AU - Hiroko Otaki AU - Jumpei Sato AU - Tatsuya Nakae AU - Toru Hisamitsu AU - Go Kojima AU - Jennifer Felsted AU - Sujay Kakarmath AU - Joseph Kvedar AU - Kamal Jethwani PY - 2018 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-018-0620-z UR - https://doi.org/10.1186/s12911-018-0620-z ER -
APA
Golas, S. B., Shibahara, T., Agboola, S., Otaki, H., Sato, J., Nakae, T., Hisamitsu, T., Kojima, G., Felsted, J., Kakarmath, S., Kvedar, J., & Jethwani, K. (2018). A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-018-0620-z
Source records
- crossref · retrieved 2026-09-26T18:53:59.512Z