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Epilepsy is one of the most common disabling neurological disorders in patients over the age of 50
Epilepsy is one of the most common disabling neurological disorders in patients over the age of 50
Many researchers use machine learning (aka artificial intelligence) to address problems in epilepsy using information gleaned from non-invasive modalities
151 subjects (62 TLE patients and 89 healthy controls) were included in the analysis
151 subjects (62 TLE patients and 89 healthy controls) were included in the analysis
Binary Decision Trees for TLE Diagnosis and Prognosis
Binary Decision Trees for TLE Diagnosis and PrognosisUsing the fully hold-out test dataset, the technique classified TLE patients versus healthy controls with an AUC of 0.
Using the fully hold-out test dataset, the technique classified TLE patients versus healthy controls with an AUC of 0.
Decoding network predicts temporal lobe epilepsy (TLE)
Decoding network predicts temporal lobe epilepsy (TLE)Advanced neuroimaging analysis can be effectively used to enhance current clinically driven predictive models
Advanced neuroimaging analysis can be effectively used to enhance current clinically driven predictive models
This technique classifies important clinical decisions in preoperative examination of temporal lobe epilepsy by generating clear white matter features
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