A machine learning model for predicting short‐term outcomes after rapid response system activation
We developed the first machine learning model for short-term prognosis after RRS. This model has the potential to support decision-making by RRT.
Authors
- Shigeki Fujitani (ORCID: https://orcid.org/0000-0001-6327-682X)
- Takaki Naito (ORCID: https://orcid.org/0000-0001-8333-0141)
- Michael Li (ORCID: https://orcid.org/0000-0003-0351-2637)
Institutions
- St. Marianna University School of Medicine (JP)
- Thomas Jefferson University Hospital (US)
Publication Details
- Journal
- Acute Medicine & Surgery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/ams2.70083
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science