Establishing Prediction Model of Antiepileptic Drugs Response using Data Mining Approach
Ji-Ye Yin1,2, Jian Qu1,2, Chen-Xue Mao1,2
1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
No abstract available in PubMed .
More Related Videos
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
07:01Electrophoretic Delivery of γ-aminobutyric Acid GABA into Epileptic Focus Prevents Seizures in Mice
Published on: May 16, 2019
Related Concept Videos
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Analysis of Population Pharmacokinetic Data
Epilepsy and Seizures: Overview
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
Antiepileptic Drugs: Potassium Channel Activators
Ezogabine has gained approval as an adjunctive treatment...
