Related references
Note: Only part of the references are listed.Prognostic Research in Traumatic Brain Injury: Markers, Modeling, and Methodological Principles
Isabel R. A. Retel Helmrich et al.
JOURNAL OF NEUROTRAUMA (2021)
Convolutional Neural Network Utilizing Error-Correcting Output Codes Support Vector Machine for Classification of Non-Severe Traumatic Brain Injury From Electroencephalogram Signal
Chi Qin Lai et al.
IEEE ACCESS (2021)
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Sleep Spindle Detection Using RUSBoost and Synchrosqueezed Wavelet Transform
Takafumi Kinoshita et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)
The use of machine learning techniques in trauma-related disorders: a systematic review
Luis Francisco Ramos-Lima et al.
JOURNAL OF PSYCHIATRIC RESEARCH (2020)
Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography
Chi Qin Lai et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2020)
EEG signal varies with different outcomes in comatose patients: A quantitative method of electroencephalography reactivity
Weibi Chen et al.
JOURNAL OF NEUROSCIENCE METHODS (2020)
Analysis of epileptic EEG signals by using dynamic mode decomposition and spectrum
Ozlem Karabiber Cura et al.
Biocybernetics and Biomedical Engineering (2020)
Novel approaches to prediction in severe brain injury
Brian C. Fidali et al.
CURRENT OPINION IN NEUROLOGY (2020)
Performance Comparison of Machine Learning Techniques for Epilepsy Classification and Detection in EEG Signal
Rekh Ram Janghel et al.
DATA MANAGEMENT, ANALYTICS AND INNOVATION, ICDMAI 2019, VOL 1 (2020)
Examining imbalanced classification algorithms in predicting real-time traffic crash risk
Yichuan Peng et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
Epileptic Seizure Detection With a Reduced Montage: A Way Forward for Ambulatory EEG Devices
Raheel Asif et al.
IEEE ACCESS (2020)
Machine Learning Algorithms and Quantitative Electroencephalography Predictors for Outcome Prediction in Traumatic Brain Injury: A Systematic Review
Nor Safira Elaina Mohd Noor et al.
IEEE ACCESS (2020)
Boosting methods for multi-class imbalanced data classification: an experimental review
Jafar Tanha et al.
JOURNAL OF BIG DATA (2020)
Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets
Lorre S. Atlan et al.
JOURNAL OF NEUROTRAUMA (2019)
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
Haider Raza et al.
NEUROCOMPUTING (2019)
Machine learning in mental health: a scoping review of methods and applications
Adrian B. R. Shatte et al.
PSYCHOLOGICAL MEDICINE (2019)
Social power and frontal alpha asymmetry
Carl Michael Galang et al.
COGNITIVE NEUROSCIENCE (2019)
A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions
Harsurinder Kaur et al.
ACM COMPUTING SURVEYS (2019)
Continuous Electroencephalography After Moderate to Severe Traumatic Brain Injury
Hyunjo Lee et al.
CRITICAL CARE MEDICINE (2019)
Machine learning studies on major brain diseases: 5-year trends of 2014-2018
Koji Sakai et al.
JAPANESE JOURNAL OF RADIOLOGY (2019)
Low Complexity Automatic Stationary Wavelet Transform for Elimination of Eye Blinks from EEG
Mohammad Shahbakhti et al.
BRAIN SCIENCES (2019)
An Evolutionary UnderBagging Approach to Tackle the Survival Prediction of Trauma Patients: A Case Study at the Hospital of Navarre
Jose Antonio Sanz et al.
IEEE ACCESS (2019)
Empirical Comparison of Area under ROC curve (AUC) and Mathew Correlation Coefficient (MCC) for Evaluating Machine Learning Algorithms on Imbalanced Datasets for Binary Classification
Chongomweru Halimu et al.
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND SOFT COMPUTING (ICMLSC 2019) (2019)
A Classification Model For Class Imbalance Dataset Using Genetic Programming
Mirza Amaad Ul Haq Tahir et al.
IEEE ACCESS (2019)
Benchmarking framework for class imbalance problem using novel sampling approach for big data
Khyati Ahlawat et al.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2019)
Automatic Seizure Detection Using Multi-Resolution Dynamic Mode Decomposition
Muhammad Bilal et al.
IEEE ACCESS (2019)
Objective Classification of mTBI Using Machine Learning on a Combination of Frontopolar Electroencephalography Measurements and Self-reported Symptoms
M. Windy McNerney et al.
SPORTS MEDICINE-OPEN (2019)
Predicting outcome in patients with moderate to severe traumatic brain injury using electroencephalography
Marjolein E. Haveman et al.
CRITICAL CARE (2019)
Machine Learning for Prediction of Posttraumatic Stress and Resilience Following Trauma: An Overview of Basic Concepts and Recent Advances
Katharina Schultebraucks et al.
JOURNAL OF TRAUMATIC STRESS (2019)
Natural and Artificial Intelligence in Neurosurgery: A Systematic Review
Joeky T. Senders et al.
NEUROSURGERY (2018)
Consciousness Indexing and Outcome Prediction with Resting-State EEG in Severe Disorders of Consciousness
Sabina Stefan et al.
BRAIN TOPOGRAPHY (2018)
Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI
Tayyab Ateeq et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
Predicting Long-Term Global Outcome after Traumatic Brain Injury: Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database
William C. Walker et al.
JOURNAL OF NEUROTRAUMA (2018)
A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data
Xiaohui Yuan et al.
PATTERN RECOGNITION (2018)
Moderate Traumatic Brain Injury: Clinical Characteristics and a Prognostic Model of 12-Month Outcome
Cathrine Elisabeth Einarsen et al.
WORLD NEUROSURGERY (2018)
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review
Joeky T. Senders et al.
WORLD NEUROSURGERY (2018)
Predicting Age From Brain EEG Signals-A Machine Learning Approach
Obada Al Zoubi et al.
FRONTIERS IN AGING NEUROSCIENCE (2018)
A New Ensemble Classification System For Fracture Zone Prediction Using Imbalanced Micro-CT Bone Morphometrical Data
Vasileios Ch Korfiatis et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Task-free spectral EEG dynamics track and predict patient recovery from severe acquired brain injury
R. L. van den Brink et al.
NEUROIMAGE-CLINICAL (2018)
Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG
Muhammad Sohaib J. Solaija et al.
IEEE ACCESS (2018)
Sleep stage classification using single-channel EOG
Md Mosheyur Rahman et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda et al.
NEURAL NETWORKS (2018)
Structural neuroimaging as clinical predictor: A review of machine learning applications
Jose Maria Mateos-Perez et al.
NEUROIMAGE-CLINICAL (2018)
Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging
Andrew T. Hale et al.
NEUROSURGICAL FOCUS (2018)
Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models
Cheng-Shyuan Rau et al.
PLoS One (2018)
A survey on addressing high-class imbalance in big data
Joffrey L. Leevy et al.
JOURNAL OF BIG DATA (2018)
Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study
Antti Tolonen et al.
CLINICAL EEG AND NEUROSCIENCE (2018)
An introduction and overview of machine learning in neurosurgical care
Joeky T. Senders et al.
ACTA NEUROCHIRURGICA (2018)
Impact of Glasgow Coma Scale score and pupil parameters on mortality rate and outcome in pediatric and adult severe traumatic brain injury: a retrospective, multicenter cohort study
Pedram Emami et al.
JOURNAL OF NEUROSURGERY (2017)
Look at my classifier's result: Disentangling unresponsive from (minimally) conscious patients
Quentin Noirhomme et al.
NEUROIMAGE (2017)
MACHINE LEARNING FOR PREDICTING OUTCOMES IN TRAUMA
Nehemiah T. Liu et al.
SHOCK (2017)
Ensemble Decision Tree Models Using RUSBoost for Estimating Risk of Iron Failure in Drinking Water Distribution Systems
S. R. Mounce et al.
WATER RESOURCES MANAGEMENT (2017)
A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness
Yang Bai et al.
FRONTIERS IN NEUROLOGY (2017)
Predicting Outcome 12 Months after Mild Traumatic Brain injury in Patients admitted to a neurosurgery service
Torgeir Hellstrom et al.
FRONTIERS IN NEUROLOGY (2017)
Increased prognostic accuracy of TBI when a brain electrical activity biomarker is added to loss of consciousness (LOC)
Dallas Hack et al.
AMERICAN JOURNAL OF EMERGENCY MEDICINE (2017)
Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting
Ahnaf Rashik Hassan et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)
Structural imaging of mild traumatic brain injury may not be enough: overview of functional and metabolic imaging of mild traumatic brain injury
Samuel S. Shin et al.
BRAIN IMAGING AND BEHAVIOR (2017)
A revised glossary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the EEG findings. Revision 2017
Nick Kane et al.
CLINICAL NEUROPHYSIOLOGY PRACTICE (2017)
Online Bagging and Boosting for Imbalanced Data Streams
Boyu Wang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
Coherence in resting-state EEG as a predictor for the recovery from unresponsive wakefulness syndrome
Barbara Schorr et al.
JOURNAL OF NEUROLOGY (2016)
A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features
Ahnaf Rashik Hassan et al.
JOURNAL OF NEUROSCIENCE METHODS (2016)
Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data
Li Yijing et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients
Saeedeh Pourahmad et al.
METHODS OF INFORMATION IN MEDICINE (2016)
The Glasgow Outcome Scale-40 years of application and refinement
Tom McMillan et al.
NATURE REVIEWS NEUROLOGY (2016)
Automatic EEG processing for the early diagnosis of Traumatic Brain Injury
Bruno Albert et al.
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016 (2016)
Early prediction of outcome after severe traumatic brain injury: a simple and practical model
Sandro Rizoli et al.
BMC EMERGENCY MEDICINE (2016)
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques
Hafeez Ullah Amin et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2015)
Traumatic brain injury detection using electrophysiological methods
Paul E. Rapp et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2015)
EEG artifact elimination by extraction of ICA-component features using image processing algorithms
T. Raduentz et al.
JOURNAL OF NEUROSCIENCE METHODS (2015)
Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation
Wenan Chen et al.
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS (2013)
Outcome Prediction in Moderate and Severe Traumatic Brain Injury: A Focus on Computed Tomography Variables
Bram Jacobs et al.
NEUROCRITICAL CARE (2013)
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
Mikel Galar et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)
Does the Extended Glasgow Outcome Scale Add Value to the Conventional Glasgow Outcome Scale?
James Weir et al.
JOURNAL OF NEUROTRAUMA (2012)
Predicting outcomes after traumatic brain injury: The development and validation of prognostic models based on admission characteristics
Fang Yuan et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2012)
Outcome measures for traumatic brain injury
Dhaval Shukla et al.
CLINICAL NEUROLOGY AND NEUROSURGERY (2011)
Epidemiology, Severity Classification, and Outcome of Moderate and Severe Traumatic Brain Injury: A Prospective Multicenter Study
Teuntje M. J. C. Andriessen et al.
JOURNAL OF NEUROTRAUMA (2011)
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
Chris Seiffert et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2010)
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
Yanmin Sun et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2009)
PATIENTS WITH MODERATE HEAD INJURY: A PROSPECTIVE MULTICENTER STUDY OF 315 PATIENTS
Christian Compagnone et al.
NEUROSURGERY (2009)
Early predictors of unfavourable outcome in subjects with moderate head injury in the emergency department
A. Fabbri et al.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2008)
Moderate and severe traumatic brain injury in adults
Andrew I. R. Maas et al.
LANCET NEUROLOGY (2008)
Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients
Pablo Perel et al.
BMJ-BRITISH MEDICAL JOURNAL (2008)
An experimental evaluation of ensemble methods for EEG signal classification
Shiliang Sun et al.
PATTERN RECOGNITION LETTERS (2007)
Impaired percent alpha variability on continuous electroencephalography is associated with thalamic injury and predicts poor long-term outcome after human traumatic brain injury
Matthew O. Hebb et al.
JOURNAL OF NEUROTRAUMA (2007)
Prognosis and clinical trial design in traumatic brain injury: the IMPACT study
Andrew I. R. Maas et al.
JOURNAL OF NEUROTRAUMA (2007)
Multi-class ROC analysis from a multi-objective optimisation perspective
Richard M. Everson et al.
PATTERN RECOGNITION LETTERS (2006)
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
A Delorme et al.
JOURNAL OF NEUROSCIENCE METHODS (2004)
Early and persistent impaired percent alpha variability on continuous electroencephalography monitoring as predictive of poor outcome after traumatic brain injury
PM Vespa et al.
JOURNAL OF NEUROSURGERY (2002)
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
TG Dietterich
MACHINE LEARNING (2000)
Removal of ocular artifact from the EEG: a review
RJ Croft et al.
NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY (2000)
Share Paper
