Cargando…

Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction

BACKGROUND AND PURPOSE: Patients with ischemic stroke frequently develop hemorrhagic transformation (HT), which could potentially worsen the prognosis. The objectives of the current study were to determine the incidence and predictors of HT, to evaluate predictor interaction, and to identify the opt...

Descripción completa

Detalles Bibliográficos
Autores principales:	Elsaid, Ahmed F., Fahmi, Rasha M., Shehta, Nahed, Ramadan, Bothina M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neurology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731336/ https://www.ncbi.nlm.nih.gov/pubmed/36504664 http://dx.doi.org/10.3389/fneur.2022.951401

Ejemplares similares

Machine Learning-Based Model for Prediction of Hemorrhage Transformation in Acute Ischemic Stroke After Alteplase
por: Xu, Yanan, et al.
Publicado: (2022)

MRI-Based Predictors of Hemorrhagic Transformation in Patients With Stroke Treated by Intravenous Thrombolysis
por: El Nawar, Rody, et al.
Publicado: (2019)

Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage
por: Ahmed, Abdullah, et al.
Publicado: (2023)

Post-ASPECTS based on hyperdensity in NCCT immediately after thrombectomy is an ultra-early predictor of hemorrhagic transformation and prognosis
por: Chen, Lulu, et al.
Publicado: (2022)

Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage
por: Wang, Hsueh-Lin, et al.
Publicado: (2019)

Intraventricular Hemorrhage Severity as a Predictor of Outcome in Intracerebral Hemorrhage
por: Trifan, Gabriela, et al.
Publicado: (2019)

Hemorrhagic Transformation in Ischemic Stroke and the Role of Inflammation
por: Spronk, Elena, et al.
Publicado: (2021)

Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units
por: Nie, Ximing, et al.
Publicado: (2021)

Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study
por: Li, Fengda, et al.
Publicado: (2023)

Hemorrhagic Transformation After Ischemic Stroke: Mechanisms and Management
por: Hong, Ji Man, et al.
Publicado: (2021)

Added Prognostic Value of Hemorrhagic Transformation Quantification in Patients With Acute Ischemic Stroke
por: van Kranendonk, Katinka R., et al.
Publicado: (2020)

Hemodynamics and Hemorrhagic Transformation After Endovascular Therapy for Ischemic Stroke
por: Silverman, Andrew, et al.
Publicado: (2020)

Stroke Treatment With PAR-1 Agents to Decrease Hemorrhagic Transformation
por: Lyden, Patrick D., et al.
Publicado: (2021)

Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points
por: Zhao, Yanjie, et al.
Publicado: (2023)

The predictors of death within 1 year in acute ischemic stroke patients based on machine learning
por: Wang, Kai, et al.
Publicado: (2023)

Liver Fibrosis Is Associated With Hemorrhagic Transformation in Patients With Acute Ischemic Stroke
por: Yuan, Cheng-Xiang, et al.
Publicado: (2020)

Collateral Vessels on 4D CTA as a Predictor of Hemorrhage Transformation After Endovascular Treatments in Patients With Acute Ischemic Stroke: A Single-Center Study
por: Cao, Ruoyao, et al.
Publicado: (2020)

Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage
por: Chen, Wei, et al.
Publicado: (2022)

Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study
por: Wen, Rui, et al.
Publicado: (2023)

Radiographic Predictors of Shunt Dependency in Intracranial Hemorrhage With Intraventricular Extension
por: Brazdzionis, James, et al.
Publicado: (2022)

An online survival predictor in glioma patients using machine learning based on WHO CNS5 data
por: Ye, Liguo, et al.
Publicado: (2023)

Matrix Metalloproteinase-9 Relationship With Infarct Growth and Hemorrhagic Transformation in the Era of Thrombectomy
por: Mechtouff, Laura, et al.
Publicado: (2020)

Hemorrhagic Transformation in Ischemic Moyamoya Disease: Clinical Characteristics, Radiological Features, and Outcomes
por: Lu, Junlin, et al.
Publicado: (2020)

Early Venous Filling Following Thrombectomy: Association With Hemorrhagic Transformation and Functional Outcome
por: Elands, Sophie, et al.
Publicado: (2021)

Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the Risa-MIS-ICH study
por: Zheng, Yan, et al.
Publicado: (2022)

Predictors of Early Mortality for Mechanically Ventilated Spontaneous Intracerebral Hemorrhage Patients
por: Reddy, Kati K, et al.
Publicado: (2022)

Sterile Leukocytosis Predicts Hemorrhagic Transformation in Arterial Ischemic Stroke: A National Inpatient Sample Study
por: Antoniazzi, Aldana M, et al.
Publicado: (2021)

Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features
por: Nawabi, Jawed, et al.
Publicado: (2020)

Effect of Hyperhomocysteinemia on Clinical Outcome and Hemorrhagic Transformation After Thrombolysis in Ischemic Stroke Patients
por: Luo, Yun, et al.
Publicado: (2019)

High Neutrophil-to-Platelet Ratio Is Associated With Hemorrhagic Transformation in Patients With Acute Ischemic Stroke
por: He, Weilei, et al.
Publicado: (2019)

Development and Validation of a Predictive Model for Spontaneous Hemorrhagic Transformation After Ischemic Stroke
por: Wei, Chenchen, et al.
Publicado: (2021)

Early Predictors for Infectious Complications in Patients With Spontaneous Intracerebral Hemorrhage and Their Impact on Outcome
por: Lindner, Anna, et al.
Publicado: (2019)

Thrombin generation as a predictor of outcomes in patients with non-traumatic intracerebral hemorrhage
por: Lóczi, Linda, et al.
Publicado: (2022)

Corrigendum: Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features
por: Nawabi, Jawed, et al.
Publicado: (2021)

Low Serum Magnesium Levels Are Associated With Hemorrhagic Transformation After Thrombolysis in Acute Ischemic Stroke
por: Cheng, Zicheng, et al.
Publicado: (2020)

Clinical Characteristics and Outcome of Patients With Hemorrhagic Transformation After Intravenous Thrombolysis in the WAKE-UP Trial
por: Jensen, Märit, et al.
Publicado: (2020)

MMP-9-Related microRNAs as Prognostic Markers for Hemorrhagic Transformation in Cardioembolic Stroke Patients
por: Zheng, Lukai, et al.
Publicado: (2019)

A novel nomogram to predict hemorrhagic transformation in ischemic stroke patients after intravenous thrombolysis
por: Yang, Miaomiao, et al.
Publicado: (2022)

Risk factors of hemorrhagic transformation in acute ischaemic stroke: A systematic review and meta-analysis
por: Sun, Jiacheng, et al.
Publicado: (2023)

Predictors of Mortality in Traumatic Intracranial Hemorrhage: A National Trauma Data Bank Study
por: Wu, Esther, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_3197fnlsesh61r8dq6lok4tg59