Prediction of financial deficits of postoperative patients in the intensive care unit using machine learning
Machine-learning models may accurately predict financial loss events in postoperative ICU patients, potentially supporting efficient resource allocation and hospital financial planning.
Authors
- Takuya Shiga (ORCID: https://orcid.org/0000-0001-7303-3653)
- Shinya Sonobe (ORCID: https://orcid.org/0000-0002-3998-4612)
- Masanori Yamauchi (ORCID: https://orcid.org/0000-0001-8708-6852)
- Saori Ikumi
- Yukiko Ito (ORCID: https://orcid.org/0000-0002-3148-9860)
- Eichi Takaya (ORCID: https://orcid.org/0000-0003-2541-1685)
- Yu Kaiho (ORCID: https://orcid.org/0000-0002-8289-054X)
Institutions
- Tohoku University (JP)
- Keio University (JP)
- Tohoku University Hospital (JP)
Publication Details
- Journal
- JA Clinical Reports
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s40981-025-00819-3
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Institute for Health Economics and Policy
- Japan Society for the Promotion of Science