APA (7th ed.) Citation

Z, R., MC, M., JM, M., L, W., T, P., M, K., . . . AC, H. (2026). Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data. Studies in health technology and informatics, 336, 388. https://doi.org/10.3233/SHTI260183

Chicago Style (17th ed.) Citation

Z, Ritter, Maurer MC, Metsch JM, Weller L, Pollmann T, Kretzler M, Grobe T, and Hauschild AC. "Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data." Studies in Health Technology and Informatics 336 (2026): 388. https://doi.org/10.3233/SHTI260183.

MLA (9th ed.) Citation

Z, Ritter, et al. "Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data." Studies in Health Technology and Informatics, vol. 336, 2026, p. 388, https://doi.org/10.3233/SHTI260183.