Cargando…

Editorial: Machine Learning and Decision Support in Stroke

Detalles Bibliográficos
Autores principales:	Liebeskind, David S., Scalzo, Fabien
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neurology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272666/ https://www.ncbi.nlm.nih.gov/pubmed/32547484 http://dx.doi.org/10.3389/fneur.2020.00486

Ejemplares similares

Editorial: Machine Learning in Neuroimaging
por: Federau, Christian, et al.
Publicado: (2021)

A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
por: McKinley, Richard, et al.
Publicado: (2018)

Perfusion Angiography in Acute Ischemic Stroke
por: Scalzo, Fabien, et al.
Publicado: (2016)

Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms
por: Lin, Xinping, et al.
Publicado: (2021)

Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
por: Abedi, Vida, et al.
Publicado: (2022)

Editorial: Machine learning in data analysis for stroke/endovascular therapy
por: Ettleson, Ari, et al.
Publicado: (2023)

Data Science of Stroke Imaging and Enlightenment of the Penumbra
por: Scalzo, Fabien, et al.
Publicado: (2015)

Recurrent stroke risk in intracranial atherosclerotic disease
por: Ballout, Ahmad A., et al.
Publicado: (2022)

Editorial: Application of Machine Learning in the Diagnosis of Dementia
por: Sakatani, Kaoru, et al.
Publicado: (2022)

Clinical characteristics and outcomes of patients with post-stroke epilepsy: protocol for an individual patient data meta-analysis from the International Post-stroke Epilepsy Research Repository (IPSERR)
por: Mishra, Nishant K, et al.
Publicado: (2023)

Machine Learning in Acute Ischemic Stroke Neuroimaging
por: Kamal, Haris, et al.
Publicado: (2018)

Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction
por: Jabal, Mohamed Sobhi, et al.
Publicado: (2022)

Editorial: Intracranial Atherosclerotic Disease: Epidemiology, Imaging, Treatment and Prognosis
por: Leng, Xinyi, et al.
Publicado: (2021)

Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
por: Mainali, Shraddha, et al.
Publicado: (2021)

Pattern Recognition in Medical Decision Support
por: Asgari, Shadnaz, et al.
Publicado: (2019)

Comparison of ischemic stroke diagnosis models based on machine learning
por: Yang, Wan-Xia, et al.
Publicado: (2022)

Editorial: Hemostasis and Stroke
por: Bagoly, Zsuzsa, et al.
Publicado: (2021)

Editorial: Seizure Forecasting and Detection: Computational Models, Machine Learning, and Translation Into Devices
por: Chiang, Sharon, et al.
Publicado: (2022)

Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients
por: Darabi, Negar, et al.
Publicado: (2021)

Analyzing and predicting the risk of death in stroke patients using machine learning
por: Zhu, Enzhao, et al.
Publicado: (2023)

End to end stroke triage using cerebrovascular morphology and machine learning
por: Deshpande, Aditi, et al.
Publicado: (2023)

Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
por: Lee, Joonwon, et al.
Publicado: (2023)

Editorial: Antiplatelet Agents in Stroke Prevention
por: Feher, Gergely, et al.
Publicado: (2021)

Early Mobilization After Stroke: Do Clinical Practice Guidelines Support Clinicians' Decision-Making?
por: Rethnam, Venesha, et al.
Publicado: (2021)

Editorial: Shared decision-making in neurology
por: Heesen, Christoph, et al.
Publicado: (2023)

Editorial: Biomarkers for stroke recovery
por: Kumar, Pradeep, et al.
Publicado: (2023)

Safety and Efficacy of Heparinization During Mechanical Thrombectomy in Acute Ischemic Stroke
por: Yang, Ming, et al.
Publicado: (2019)

Triage of Acute Ischemic Stroke in Confirmed COVID-19: Large Vessel Occlusion Associated With Coronavirus Infection
por: Moshayedi, Pouria, et al.
Publicado: (2020)

End-of-Life Care Decision-Making in Stroke
por: Gao, Lucy, et al.
Publicado: (2021)

Machine Learning Analysis of the Cerebrovascular Thrombi Proteome in Human Ischemic Stroke: An Exploratory Study
por: Dargazanli, Cyril, et al.
Publicado: (2020)

Quantifying the Impact of Chronic Ischemic Injury on Clinical Outcomes in Acute Stroke With Machine Learning
por: Mah, Yee-Haur, et al.
Publicado: (2020)

Impact of 25-Hydroxyvitamin D on the Prognosis of Acute Ischemic Stroke: Machine Learning Approach
por: Kim, Chulho, et al.
Publicado: (2020)

Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning
por: Li, Xiang, et al.
Publicado: (2020)

Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke
por: Mazza, Orit, et al.
Publicado: (2022)

Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke
por: Fast, Lea, et al.
Publicado: (2023)

Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
por: Werdiger, Freda, et al.
Publicado: (2023)

Predicting short-term outcomes in atrial-fibrillation-related stroke using machine learning
por: Jeon, Eun-Tae, et al.
Publicado: (2023)

Stent Retriever Thrombectomy for Anterior vs. Posterior Circulation Ischemic Stroke: Analysis of the STRATIS Registry
por: Jahan, Reza, et al.
Publicado: (2021)

Editorial: Critical Care After Stroke
por: Advani, Rajiv, et al.
Publicado: (2022)

Editorial: Current Challenges in Cardioembolic Stroke
por: Fuentes, Blanca, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_l1utso7qghpqsata9km0vsav38