Predicting 3-year all-cause mortality in patients undergoing hemodialysis using machine learning
This novel risk model can effectively stratify high-risk patients and predict 3-year all-cause mortality in patients undergoing HD. We anticipated that this risk model might contribute to identify high-risk cases earlier and provide safer prescriptions and treatments for individual patients.
Authors
- Kenichi Morii (ORCID: https://orcid.org/0000-0003-4098-2726)
- Toshiki Doi (ORCID: https://orcid.org/0000-0001-8870-5790)
- Kazuomi Yamashita (ORCID: https://orcid.org/0000-0001-9273-9416)
- Aiko Okubo (ORCID: https://orcid.org/0000-0002-5566-3157)
- Sonoo Mizuiri (ORCID: https://orcid.org/0000-0001-6728-5731)
- Tetsuji Arakawa
- Takao Masaki (ORCID: https://orcid.org/0000-0003-4271-9964)
- Takayuki Naito (ORCID: https://orcid.org/0000-0003-1188-8490)
- Michiko Arita
- Yoshiko Nishizawa
- Kenichiro Shigemoto
Institutions
- IHI Corporation (United States) (US)
- Hiroshima University Hospital (JP)
Publication Details
- Journal
- Journal of Nephrology
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1007/s40620-025-02236-2
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 5.88