Development of an interpretable machine learning model for predicting new-onset atrial fibrillation in patients with sepsis-associated acute kidney injury: A retrospective cohort study.
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| Title: | Development of an interpretable machine learning model for predicting new-onset atrial fibrillation in patients with sepsis-associated acute kidney injury: A retrospective cohort study. |
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| Authors: | Ge, Yuanshuo1 (AUTHOR), Wang, Guangdong2 (AUTHOR), Zhang, Linlin3 (AUTHOR), Miao, Yang3 (AUTHOR), Wu, Hui3 (AUTHOR), Hu, Ye3 (AUTHOR) xhzwork@163.com, Yin, Cunlin3 (AUTHOR) yincunlin1988@163.com |
| Source: | Science Progress. Apr-Jun2026, Vol. 109 Issue 2, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 00368504 |
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| DOI: | 10.1177/00368504261442370 |
