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

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Bibliographic Details
Title:	Exploring long-term breast cancer survivors' care trajectories using dynamic time warping-based unsupervised clustering.
Authors:	Giannoula, Alexia^1,2,3, alexia.giannoula@upf.edu, Comas, Mercè^1,3, Castells, Xavier^1,3, Estupiñán-Romero, Francisco^3,4, Bernal-Delgado, Enrique^3,4, Sanz, Ferran^1,2, Sala, Maria^1,3, alexia.giannoula@upf.edu
Source:	Journal of the American Medical Informatics Association; Apr2024, Vol. 31 Issue 4, p820-831, 12p
Database:	Applied Science & Technology Source

Description
ISSN:	10675027
DOI:	10.1093/jamia/ocad251