AIMC Topic: Levetiracetam
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Deep learning and feature based medication classifications from EEG in a large clinical data set.
Scientific reports
Aug 26, 2020
The amount of freely available human phenotypic data is increasing daily, and yet little is known about the types of inferences or identifying characteristics that could reasonably be drawn from that data using new statistical methods. One data type ...
Therapeutic drug monitoring of levetiracetam in daily clinical practice: high-performance liquid chromatography versus immunoassay.
European journal of hospital pharmacy : science and practice
Oct 20, 2018
OBJECTIVES: Although levetiracetam presents an easy dosing and tolerability, therapeutic drug monitoring may be recommended in certain situations. Measurement of levetiracetam in serum plasma is commonly done by high performance liquid chromatography...
Personalized prediction model for seizure-free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine.
British journal of clinical pharmacology
Sep 3, 2018
AIMS: To predict the probability of a seizure-free (SF) state in patients with epilepsy (PWEs) after treatment with levetiracetam and to identify the clinical and electroencephalographic (EEG) factors that affect outcomes.
Is levetiracetam neuroprotective in neonatal rats with hypoxic ischemic brain injury?
Bratislavske lekarske listy
Jan 1, 2016
BACKGROUND: The aim of this study was to determine if levetiracetam (LEV) is neuroprotective in neonatal rats with hypoxic-ischemic brain injury (HIBI).
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