Predicting asthma-related crisis events using routine electronic healthcare data: a quantitative database analysis study

BACKGROUND: There is no published algorithm predicting asthma crisis events (accident and emergency [A&E] attendance, hospitalisation, or death) using routinely available electronic health record (EHR) data. AIM: To develop an algorithm to identify individuals at high risk of an asthma crisis ev...

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Detalles Bibliográficos
Autores principales: Noble, Michael, Burden, Annie, Stirling, Susan, Clark, Allan B, Musgrave, Stanley, Alsallakh, Mohammad A, Price, David, Davies, Gwyneth A, Pinnock, Hilary, Pond, Martin, Sheikh, Aziz, Sims, Erika J, Walker, Samantha, Wilson, Andrew M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544121/
https://www.ncbi.nlm.nih.gov/pubmed/34133316
http://dx.doi.org/10.3399/BJGP.2020.1042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544121/
https://www.ncbi.nlm.nih.gov/pubmed/34133316
http://dx.doi.org/10.3399/BJGP.2020.1042

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