APA (7th ed.) Citation

M, M., G, S., S, D., & L, P. (2026). A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function. Studies in health technology and informatics, 336, 2349. https://doi.org/10.3233/SHTI260690

Chicago Style (17th ed.) Citation

M, Momaya, Simon G, Duarte S, and Pruinelli L. "A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function." Studies in Health Technology and Informatics 336 (2026): 2349. https://doi.org/10.3233/SHTI260690.

MLA (9th ed.) Citation

M, Momaya, et al. "A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function." Studies in Health Technology and Informatics, vol. 336, 2026, p. 2349, https://doi.org/10.3233/SHTI260690.