Machine learning and synthetic outcome estimation for individualised antimicrobial cessation

The decision on when it is appropriate to stop antimicrobial treatment in an individual patient is complex and under-researched. Ceasing too early can drive treatment failure, while excessive treatment risks adverse events. Under- and over-treatment can promote the development of antimicrobial resis...

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Detalles Bibliográficos
Autores principales: Bolton, William J., Rawson, Timothy M., Hernandez, Bernard, Wilson, Richard, Antcliffe, David, Georgiou, Pantelis, Holmes, Alison H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719971/
https://www.ncbi.nlm.nih.gov/pubmed/36479189
http://dx.doi.org/10.3389/fdgth.2022.997219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719971/
https://www.ncbi.nlm.nih.gov/pubmed/36479189
http://dx.doi.org/10.3389/fdgth.2022.997219

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