Machine learning models for predicting postoperative acute kidney injury in pediatric cardiac surgery: a systematic review and meta-analysis.
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| Title: | Machine learning models for predicting postoperative acute kidney injury in pediatric cardiac surgery: a systematic review and meta-analysis. |
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| Authors: | Sihombing NMI; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Raz HF; Division of Thoracic, Cardiac, and Vascular Surgery, Department of Surgery, Faculty of Medicine, Universitas Sumatera Utara, Haji Adam Malik General Hospital, Medan, Indonesia., Siahaan SRU; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Sihombing SYR; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Rifa'i AD; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Duha MH; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia. |
| Source: | Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2026 Jun 18; Vol. 13, pp. 1808152. Date of Electronic Publication: 2026 Jun 18 (Print Publication: 2026). |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653388 Publication Model: eCollection Cited Medium: Print ISSN: 2297-055X (Print) Linking ISSN: 2297055X NLM ISO Abbreviation: Front Cardiovasc Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2297-055X |
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| DOI: | 10.3389/fcvm.2026.1808152 |
