An interpretable machine-learning model for predicting in-hospital mortality in patients with sepsis-associated acute kidney injury.
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| Title: | An interpretable machine-learning model for predicting in-hospital mortality in patients with sepsis-associated acute kidney injury. |
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| Authors: | Wang JZ; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Zhang N; General Hospital of Ningxia Medical University, Yinchuan, China., Ma RR; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Yang M; School of Clinical Medicine, Ningxia Medical University, Yinchuan, China., Chen YG; Ningxia Medical University, Yinchuan, China., Zhou WJ; General Hospital of Ningxia Medical University, Yinchuan, China. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2026 Feb 13; Vol. 13, pp. 1756831. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2296-858X |
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| DOI: | 10.3389/fmed.2026.1756831 |
