Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD

Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.

Detalles Bibliográficos
Autores principales: Vaid, Akhil, Takkavatakarn, Kullaya, Divers, Jasmin, Charytan, David M., Chan, Lili, Nadkarni, Girish N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Nephrology 2023
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547223/
https://www.ncbi.nlm.nih.gov/pubmed/37418626
http://dx.doi.org/10.34067/KID.0000000000000208
Descripción
Sumario:Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.

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