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Noise in the diagnosis of epilepsy by experts
Fábio A Nascimento
*
, John R McLaren
, Wei Zhao
, Roohi Katyal
, Irfan S Sheikh
, Wan Yee Kong
, Danah Aljaafari
, Nirav Barot
, Selim Benbadis
, Daniel Friedman
, Jay R Gavvala
, Jonathan Halford
, R Edward Hogan
, Peter W Kaplan
, Ioannis Karakis
, Atul Maheshwari
, Rebecca Matthews
, Cormac O'Donovan
, Stefan Rampp
, Stephan Schuele
Joseph Sirven, William O Tatum, Jonathan Williams, Elza Márcia Yacubian, Doyle Yuan,
Sándor Beniczky
, Olivier Sibony, M Brandon Westover
Vis 8 andre
Vis mindre
*
Corresponding author af dette arbejde
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Keyphrases
Epilepsy Detection
100%
Epilepsy
40%
Pattern Noise
40%
Expert Diagnosis
40%
Clinical Follow-up
20%
Adult Patients
20%
Washout Period
20%
Clinical Information
20%
Pediatric Patients
20%
Seizure
20%
Routine EEG
20%
Expert Opinion
20%
Neuroimaging
20%
Video-EEG Monitoring
20%
EEG Data
20%
Video-EEG
20%
Wearable Devices
20%
Artificial Intelligence
20%
Total Variation
20%
Neuroimaging Data
20%
Early Referral
20%
EEG Technology
20%
Decision Algorithm
20%
Diagnostic Pathway
20%
Paroxysmal
20%
Current Clinical Practice
20%
Difficult Cases
20%
Clinical Diagnosis
20%
Standardized Data Collection
20%
Increased Reliability
20%
Structured Decision
20%
Source Signal
20%
Expert Reliability
20%
Idiosyncratic Reaction
20%
Diagnosis Patterns
20%
Noise Inconsistency
20%
Data Collection Protocol
20%
Epileptologist
20%
Vignettes
20%
Medicine and Dentistry
Epilepsy
100%
Electroencephalography
71%
Patient Referral
14%
Pediatrics Patient
14%
Epileptic Seizure
14%
Overdiagnosis
14%
Wearable Sensor
14%
Epileptologist
14%
Artificial Intelligence
14%
Psychology
Epilepsy
100%
Electroencephalography
71%
Neuroimaging
28%
Artificial Intelligence
14%