Models for predicting treatment efficacy of antiepileptic drugs and prognosis of treatment withdrawal in epilepsy patients
Abstract Although antiepileptic drugs (AEDs) are the most effective treatment for epilepsy, 30–40% of patients with epilepsy would develop drug-refractory epilepsy. An accurate, preliminary prediction of the efficacy of AEDs has great clinical significance for patient treatment and prognosis. Some s...
Main Authors: | Shijun Yang, Bin Wang, Xiong Han |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-01-01
|
Series: | Acta Epileptologica |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42494-020-00035-9 |
Similar Items
-
Value of ambulatory electroencephalogram in evaluation of postoperative withdrawal of antiepileptic drugs in patients with glioma-related epilepsy
by: LIANG Xinyi, et al.
Published: (2022-04-01) -
Factors associated with seizure recurrence after antiepileptic drug withdrawal
by: Asli Ece Cilliler, et al.
Published: (2020-12-01) -
Relapse After Drug Withdrawal in Patients with Epilepsy After Two Years of Seizure-Free: A Cohort Study
by: Zhang X, et al.
Published: (2023-01-01) -
Determination of risk factors associated with seizure relapse after antiepileptic drug withdrawal
by: Vurucu Sebahattin, et al.
Published: (2010-04-01) -
Prediction of seizure recurrence using electroencephalogram analysis with multiscale deep neural networks before withdrawal of antiepileptic drugs
by: Lung-Chang Lin, et al.
Published: (2022-05-01)