Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering.

MLA

Giannoula, Alexia, et al. “Exploring Long-Term Breast Cancer Survivors’ Care Trajectories Using Dynamic Time Warping-Based Unsupervised Clustering.” Journal of the American Medical Informatics Association, vol. 31, no. 4, Apr. 2024, pp. 820–31. EBSCOhost, https://doi.org/10.1093/jamia/ocad251.

APA

Giannoula, A., Comas, M., Castells, X., Estupiñán-Romero, F., Bernal-Delgado, E., Sanz, F., & Sala, M. (2024). Exploring long-term breast cancer survivors’ care trajectories using dynamic time warping-based unsupervised clustering. Journal of the American Medical Informatics Association, 31(4), 820–831. https://doi.org/10.1093/jamia/ocad251

Chicago

Giannoula, Alexia, Mercè Comas, Xavier Castells, Francisco Estupiñán-Romero, Enrique Bernal-Delgado, Ferran Sanz, and Maria Sala. 2024. “Exploring Long-Term Breast Cancer Survivors’ Care Trajectories Using Dynamic Time Warping-Based Unsupervised Clustering.” Journal of the American Medical Informatics Association 31 (4): 820–31. doi:10.1093/jamia/ocad251.