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Machine learning for the prediction of severe pneumonia during posttransplant hospitalization in recipients of a deceased-donor kidney transplant
BACKGROUND: Pneumonia accounts for the majority of infection-related deaths after kidney transplantation. We aimed to build a predictive model based on machine learning for severe pneumonia in recipients of deceased-donor transplants within the perioperative period after surgery. METHODS: We collect...
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| Publicado en: | Ann Transl Med |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
AME Publishing Company
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7049019/ https://ncbi.nlm.nih.gov/pubmed/32175375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2020.01.09 |
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