Related references
Note: Only part of the references are listed.Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry
Ching-Heng Lin et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models
Shakiru A. Alaka et al.
FRONTIERS IN NEUROLOGY (2020)
A Random Forest classifier-based approach in the detection of abnormalities in the retina
Amrita Roy Chowdhury et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2019)
ECG-based pulse detection during cardiac arrest using random forest classifier
Andoni Elola et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2019)
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
Torgyn Shaikhina et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Evangelia Christodoulou et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2019)
Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers (vol 45, pg 3449, 2018)
Timo M. Deist et al.
MEDICAL PHYSICS (2019)
Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients
Miguel Monteiro et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)
Recent Advances in the Acute Management of Intracerebral Hemorrhage
Joseph D. Burns et al.
NEUROSURGERY CLINICS OF NORTH AMERICA (2018)
Effects of Telestroke on Thrombolysis Times and Outcomes: A Meta-analysis
Alireza Baratloo et al.
PREHOSPITAL EMERGENCY CARE (2018)
Trends in stroke outcomes in the last ten years in a European tertiary hospital
Emilio Rodriguez-Castro et al.
BMC NEUROLOGY (2018)
Automated approach for detection of ischemic stroke using Delaunay Triangulation in brain MRI images
Asit Subudhi et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Breast cancer diagnosis using GA feature selection and Rotation Forest
Emina Alickovic et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Fully automated stroke tissue estimation using random forest classifiers (FASTER)
Richard McKinley et al.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2017)
Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity
Yong Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Desmoteplase for Acute Ischemic Stroke: A Systematic Review and Metaanalysis of Randomized Controlled Trials
Ahmed Elmaraezy et al.
CNS & NEUROLOGICAL DISORDERS-DRUG TARGETS (2017)
Neuroprotection in stroke: the importance of collaboration and reproducibility
Ain A. Neuhaus et al.
BRAIN (2017)
Epidemiology of stroke in Europe and trends for the 21st century
Yannick Bejot et al.
PRESSE MEDICALE (2016)
Extra Tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences
Oskar Maier et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
Jhimli Mitra et al.
NEUROIMAGE (2014)
Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy
Hamed Asadi et al.
PLOS ONE (2014)
Prediction of stroke thrombolysis outcome using CT brain machine learning
Paul Bentley et al.
NEUROIMAGE-CLINICAL (2014)
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
Victoria Lopez et al.
INFORMATION SCIENCES (2013)
MULTIDISCIPLINARY CARE FOR STROKE PATIENTS LIVING IN THE COMMUNITY: A SYSTEMATIC REVIEW
Manon Fens et al.
JOURNAL OF REHABILITATION MEDICINE (2013)
Prediction of recovery of motor function after stroke
Cathy Stinear
LANCET NEUROLOGY (2010)
ABC/2 for rapid clinical estimate of infarct, perfusion, and mismatch volumes
J. R. Sims et al.
NEUROLOGY (2009)
A review of feature selection techniques in bioinformatics
Yvan Saeys et al.
BIOINFORMATICS (2007)
Pathophysiology of cerebral ischemia and brain trauma: Similarities and differences
HM Bramlett et al.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2004)