Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination
Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 less than 50 years. A large-scale national cohort, the Korea...
Alternative Titles
Full title
Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b8d71a7529ac4e57856c677a0b870d49
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b8d71a7529ac4e57856c677a0b870d49
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-91882-4
