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Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data
BACKGROUND: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning. METHODS: Data on 3,298 women, aged 40–80 years, who attended their general health check-up from January 2010 to December 2012 were obtained from Korea University Anam Hospital in Seoul, K...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Academy of Medical Sciences
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093602/ https://www.ncbi.nlm.nih.gov/pubmed/33942581 http://dx.doi.org/10.3346/jkms.2021.36.e122 |