Cargando…
Artificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA), symptomatic intracerebral hemorrhage (sICH) remains a frequent complication and constitutes a major concern when treating acute ischemic stroke (AIS). This study explored the use of artificial neural network (ANN)-ba...
Autores principales: | Chung, Chen-Chih, Chan, Lung, Bamodu, Oluwaseun Adebayo, Hong, Chien-Tai, Chiu, Hung-Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689530/ https://www.ncbi.nlm.nih.gov/pubmed/33239681 http://dx.doi.org/10.1038/s41598-020-77546-5 |
Ejemplares similares
-
Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management
por: Chou, Szu-Yi, et al.
Publicado: (2022) -
Predictors of Postthrombolysis Outcome and Symptomatic Postthrombolysis Hemorrhage following Intravenous Thrombolysis with Alteplase for Acute Ischemic Stroke
por: Das, Suman, et al.
Publicado: (2020) -
Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks
por: Yang, Cheng-Chang, et al.
Publicado: (2023) -
Neurofilament light chain level in plasma extracellular vesicles and
Parkinson’s disease
por: Chung, Chen-Chih, et al.
Publicado: (2020) -
Blood Neurofilament Light Chain in Parkinson’s Disease: Comparability between Parkinson’s Progression Markers Initiative (PPMI) and Asian Cohorts
por: Chen, Jia-Hung, et al.
Publicado: (2021)