Predicting 72-Hour Fatality in Severe Hyperphosphatemia: A Comparative Analysis of Multivariate Logistic Regression and Machine Learning Models in a Single-Center Study
Although MLRA was the most accurate in predicting 72-hour fatalities, machine learning methods provided valuable insights into the importance of variables. Considering the high mortality rates associated with severe hyperphosphatemia, timely and accurate prognostication is essential in guiding immediate interventions and improving outcomes in emergency settings.
Authors
- Hitoshi Sugawara (ORCID: https://orcid.org/0000-0002-5060-9020)
- Kiyoka Omoto (ORCID: https://orcid.org/0000-0002-6324-3726)
- Takahiko Fukuchi (ORCID: https://orcid.org/0000-0001-6192-1653)
- Keishiro Sueda (ORCID: https://orcid.org/0000-0001-5557-7753)
- Kai Saito (ORCID: https://orcid.org/0000-0002-4167-527X)
- Susumu Ookawara (ORCID: https://orcid.org/0000-0002-1516-5364)
Institutions
- Jichi Medical University (JP)
- Jichi Medical University Saitama Medical Center (JP)
Publication Details
- Journal
- Cureus
- Published
- 2025-03-17
- DOI
- https://doi.org/10.7759/cureus.80734
- Citations
- 2
- Primary Topic
- Parathyroid Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.86