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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...
Autores principales: | Boie, Sebastian Daniel, Engelhardt, Lilian Jo, Coenen, Nicolas, Giesa, Niklas, Rubarth, Kerstin, Menk, Mario, Balzer, Felix |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
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 |
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