A Recurrent Neural Network Model for Predicting Activated Partial Thromboplastin Time After Treatment With Heparin: Retrospective Study

BACKGROUND: Anticoagulation therapy with heparin is a frequent treatment in intensive care units and is monitored by activated partial thromboplastin clotting time (aPTT). It has been demonstrated that reaching an established anticoagulation target within 24 hours is associated with favorable outcom...

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Detalles Bibliográficos
Autores principales: Boie, Sebastian Daniel, Engelhardt, Lilian Jo, Coenen, Nicolas, Giesa, Niklas, Rubarth, Kerstin, Menk, Mario, Balzer, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614623/
https://www.ncbi.nlm.nih.gov/pubmed/36227653
http://dx.doi.org/10.2196/39187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614623/
https://www.ncbi.nlm.nih.gov/pubmed/36227653
http://dx.doi.org/10.2196/39187

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