Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review

Machine learning (ML) holds great potential for predicting clinical outcomes in heterogeneous chronic respiratory diseases (CRD) affecting children, where timely individualised treatments offer opportunities for health optimisation. This paper identifies rate-limiting steps in ML prediction model de...

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Detalles Bibliográficos
Autores principales: Filipow, Nicole, Main, Eleanor, Sebire, Neil J, Booth, John, Taylor, Andrew M, Davies, Gwyneth, Stanojevic, Sanja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Respiratory Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928277/
https://www.ncbi.nlm.nih.gov/pubmed/35297371
http://dx.doi.org/10.1136/bmjresp-2021-001165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928277/
https://www.ncbi.nlm.nih.gov/pubmed/35297371
http://dx.doi.org/10.1136/bmjresp-2021-001165

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