Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination

Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination

Abstract The rapid deployment of COVID-19 vaccines has necessitated the ongoing surveillance of adverse events, with abnormal uterine bleeding (AUB) emerging as a reported concern in vaccinated females. We aimed to develop a machine learning (ML) model to predict post-vaccination AUB in women aged l...

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Bibliographic Details
Main Authors: Yunjeong Choi, Jaeyu Park, Hyejun Kim, Young Joo Lee, Yongbin Lee, Yong Sung Choi, Seung Geun Yeo, Jiseung Kang, Masoud Rahmati, Hayeon Lee, Dong Keon Yon, Jinseok Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
COVID-19 vaccination
Abnormal uterine bleeding
Machine learning
Ensemble models
Online Access:https://doi.org/10.1038/s41598-025-91882-4

Internet

https://doi.org/10.1038/s41598-025-91882-4

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