Xie, W., Walz, G., & Yakulov, T. [ca. 2025]. Machine learning-driven risk prediction in severe acute kidney injury and increased mortality risk with early sodium bicarbonate use : : a model-based post hoc analysis [Cd]. Freiburg: Universität. https://doi.org/10.1016/j.heliyon.2025.e43439
ISO-690 (author-date, English)XIE, Wanqiu, WALZ, Gerd und YAKULOV, Toma, 2025. Machine learning-driven risk prediction in severe acute kidney injury and increased mortality risk with early sodium bicarbonate use : : a model-based post hoc analysis. Freiburg: Universität.
Modern Language Association 9th editionXie, W., G. Walz, und T. Yakulov. Machine learning-driven risk prediction in severe acute kidney injury and increased mortality risk with early sodium bicarbonate use : : a model-based post hoc analysis. cd, Universität, 2025, https://doi.org/10.1016/j.heliyon.2025.e43439.
Mohr Siebeck - Recht (Deutsch - Österreich)Xie, Wanqiu/Walz, Gerd/Yakulov, Toma: Machine learning-driven risk prediction in severe acute kidney injury and increased mortality risk with early sodium bicarbonate use : : a model-based post hoc analysis, Freiburg 2025.
Emerald - HarvardXie, W., Walz, G. und Yakulov, T. (2025), Machine learning-driven risk prediction in severe acute kidney injury and increased mortality risk with early sodium bicarbonate use : : a model-based post hoc analysis, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1016/j.heliyon.2025.e43439.