Artificial intelligence‐driven decision tree model for predicting quality of life determinants in women with endometriosis
This study demonstrates the clinical utility of decision tree models in stratifying endometriosis patients based on QoL determinants. These findings support personalized treatment approaches, emphasizing pain management, fertility counseling, and lifestyle modifications. Future research should focus on AI integration into clinical decision tools for improved patient care.
Authors
- Alexandre Vallée (ORCID: https://orcid.org/0000-0001-9158-4467)
Institutions
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Hôpital Foch (FR)
Publication Details
- Journal
- International Journal of Gynecology & Obstetrics
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1002/ijgo.70450
- Citations
- 1
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70