Cargando…
Using machine learning to estimate survival curves for patients receiving an increased risk for disease transmission heart, liver, or lung versus waiting for a standard organ
INTRODUCTION: Over 19% of deceased organ donors are labeled increased risk for disease transmission (IRD) for viral blood‐borne disease transmission. Many potential organ recipients need to decide between accepting an IRD organ offer and waiting for a non–IRD organ. METHODS: Using machine learning a...
Autores principales: | Mark, Ethan, Goldsman, David, Keskinocak, Pinar, Sokol, Joel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285951/ https://www.ncbi.nlm.nih.gov/pubmed/31541522 http://dx.doi.org/10.1111/tid.13181 |
Ejemplares similares
-
Using machine learning and an ensemble of methods to predict kidney transplant survival
por: Mark, Ethan, et al.
Publicado: (2019) -
Predicting a kidney transplant patient’s pre-transplant functional status based on information from waitlist registration
por: Mark, Ethan, et al.
Publicado: (2023) -
Split or whole liver transplantation? Utilization and posttransplant survival
por: Yu, Zhuoting, et al.
Publicado: (2023) -
Survival for waitlisted kidney failure patients receiving transplantation versus remaining on waiting list: systematic review and meta-analysis
por: Chaudhry, Daoud, et al.
Publicado: (2022) -
The impact of opening dedicated clinics on disease transmission during an influenza pandemic
por: Shi, Pengyi, et al.
Publicado: (2020)