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

• Main Authors: Rossella E. Nappi (Author), Nicholas Panay (Author), Santiago Palacios (Author), Vivek Banerji (Author), Genevieve Hall (Author), Martire Particco (Author), Dan Atkins (Author)
• Format: Book
• Published: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: 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...