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Gynecological Endocrinology Volume 39, 2023 - Issue 1
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Original Article

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

Rossella E. Nappia Department of Clinical, Surgical, Diagnostic and Paediatric Sciences, University of Pavia, Pavia, Italy;b Research Center of Reproductive Medicine, Unit of Gynecological Endocrinology and Menopause, IRCCS S. Matteo Foundation, Pavia, ItalyORCID Iconhttps://orcid.org/0000-0002-5216-9882View further author information
ORCID Icon,
Nicholas Panayc Queen Charlotte’s & Chelsea and Westminster Hospitals, Imperial College London, UK International Centre for Hormone Health, London, UKCorrespondence[email protected]
View further author information
,
Santiago Palaciosd Salud y Medicina de la Mujer, Instituto Palacios, Madrid, SpainView further author information
,
Vivek Banerjie Insight Dojo, London, UKView further author information
,
Genevieve Halle Insight Dojo, London, UKView further author information
,
Martire Particcof Shionogi B.V, London, UKView further author information
&
Dan Atkinsf Shionogi B.V, London, UKView further author information
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Article: 2245479 | Received 12 Jan 2023, Accepted 28 Jun 2023, Published online: 15 Aug 2023

References

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