Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model

IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functional deterioration or harmless fluctuation within...

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Detalles Bibliográficos
Autores principales: Van Loon, Elisabet, Zhang, Wanqiu, Coemans, Maarten, De Vos, Maarten, Emonds, Marie-Paule, Scheffner, Irina, Gwinner, Wilfried, Kuypers, Dirk, Senev, Aleksandar, Tinel, Claire, Van Craenenbroeck, Amaryllis H., De Moor, Bart, Naesens, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719239/
https://www.ncbi.nlm.nih.gov/pubmed/34967877
http://dx.doi.org/10.1001/jamanetworkopen.2021.41617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719239/
https://www.ncbi.nlm.nih.gov/pubmed/34967877
http://dx.doi.org/10.1001/jamanetworkopen.2021.41617

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