Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review

BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high volume of collected data in the lung transplant process makes it possible to extract hidden patterns by applying machine learning methods. Our study ai...

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Detalles Bibliográficos
Autores principales: Gholamzadeh, Marsa, Abtahi, Hamidreza, Safdari, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784000/
https://www.ncbi.nlm.nih.gov/pubmed/36564710
http://dx.doi.org/10.1186/s12874-022-01823-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784000/
https://www.ncbi.nlm.nih.gov/pubmed/36564710
http://dx.doi.org/10.1186/s12874-022-01823-2

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