Machine learning–enabled early risk stratification of β-Iactam–induced electrolyte imbalances
Electrolyte imbalances were common during β-lactam/β-lactamase inhibitor therapy. An interpretable model using routine clinical variables may support risk-informed monitoring; external validation is warranted.
Authors
- Yong Duk Jeon (ORCID: https://orcid.org/0000-0002-4588-4781)
- Ki Nam Nam
- Da Hoon Lee
- Woorim Kim (ORCID: https://orcid.org/0000-0001-7267-6745)
- Inho Ryu
- Yewon Cho
- Sooryeol Choi
- Jiwon Yu
- Hyeonwoo Cho
- Yunpil Yum
Institutions
- Kangwon National University (KR)
- Kangwon National University Hospital (KR)
- Ewha Womans University Medical Center (KR)
Publication Details
- Journal
- Personalized Medicine
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1080/17410541.2026.2634748
- Primary Topic
- Potassium and Related Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00