Using advanced analytics to help identify women who are more likely to have a severe subjective experience of vulvovaginal atrophy: a modeling study

• Prif Awduron: Rossella E. Nappi (Awdur), Nicholas Panay (Awdur), Santiago Palacios (Awdur), Vivek Banerji (Awdur), Genevieve Hall (Awdur), Martire Particco (Awdur), Dan Atkins (Awdur)
• Fformat: Llyfr
• Cyhoeddwyd: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Pynciau: article
• Mynediad Ar-lein: Connect to this object online.

Objective To develop a model to identify women likely to be severely impacted by vulvovaginal atrophy (VVA), based on their experience of symptoms and non-clinical factors.Methods Multivariate statistics and machine-learning algorithms were used to develop models using data from a cross-sectional, o...