Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data

OBJECTIVE: To examine sex and gender roles in COVID-19 test positivity and hospitalisation in sex-stratified predictive models using machine learning. DESIGN: Cross-sectional study. SETTING: UK Biobank prospective cohort. PARTICIPANTS: Participants tested between 16 March 2020 and 18 May 2020 were a...

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Detalles Bibliográficos
Autores principales: Azizi, Zahra, Shiba, Yumika, Alipour, Pouria, Maleki, Farhad, Raparelli, Valeria, Norris, Colleen, Forghani, Reza, Pilote, Louise, El Emam, Khaled
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118360/
https://www.ncbi.nlm.nih.gov/pubmed/35584867
http://dx.doi.org/10.1136/bmjopen-2021-050450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118360/
https://www.ncbi.nlm.nih.gov/pubmed/35584867
http://dx.doi.org/10.1136/bmjopen-2021-050450

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