APA (7th ed.) Citation

Ruinelli, L., Cippà, P., Sieber, C., Di Serio, C., Ferrari, P., & Bellasi, A. (2025). Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study. PloS one, 20(7), e0326124. https://doi.org/10.1371/journal.pone.0326124

Chicago Style (17th ed.) Citation

Ruinelli, Lorenzo, Pietro Cippà, Chantal Sieber, Clelia Di Serio, Paolo Ferrari, and Antonio Bellasi. "Usability of Machine Learning Algorithms Based on Electronic Health Records for the Prediction of Acute Kidney Injury and Transition to Acute Kidney Disease: A Proof of Concept Study." PloS One 20, no. 7 (2025): e0326124. https://doi.org/10.1371/journal.pone.0326124.

MLA (9th ed.) Citation

Ruinelli, Lorenzo, et al. "Usability of Machine Learning Algorithms Based on Electronic Health Records for the Prediction of Acute Kidney Injury and Transition to Acute Kidney Disease: A Proof of Concept Study." PloS One, vol. 20, no. 7, 2025, p. e0326124, https://doi.org/10.1371/journal.pone.0326124.