Quality of life identification by unsupervised cluster analysis: A new approach to modelling the burden of endometriosis
Cluster analysis identifies homogeneous women phenotypes for QoL with endometriosis. Implementing new methodological approaches improves QoL of endometriosis women and allows appropriate preventive strategies.
Authors
- Alexandre Vallée (ORCID: https://orcid.org/0000-0001-9158-4467)
- Maxence Arutkin (ORCID: https://orcid.org/0000-0002-9004-6218)
- Pierre‐François Ceccaldi (ORCID: https://orcid.org/0000-0003-4716-9199)
Institutions
- Tel Aviv University (IL)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Hôpital Foch (FR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1371/journal.pone.0317178
- Citations
- 6
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 10.19