Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation

BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pneumonia in OLT patients using machine learning (ML...

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Detalles Bibliográficos
Autores principales: Chen, Chaojin, Yang, Dong, Gao, Shilong, Zhang, Yihan, Chen, Liubing, Wang, Bohan, Mo, Zihan, Yang, Yang, Hei, Ziqing, Zhou, Shaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011203/
https://www.ncbi.nlm.nih.gov/pubmed/33789673
http://dx.doi.org/10.1186/s12931-021-01690-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011203/
https://www.ncbi.nlm.nih.gov/pubmed/33789673
http://dx.doi.org/10.1186/s12931-021-01690-3

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