Prediction of vagal nerve stimulation efficacy - validation of statistic model on external data set, pilot study

Varování

Publikace nespadá pod Ústav výpočetní techniky, ale pod Lékařskou fakultu. Oficiální stránka publikace je na webu muni.cz.

Autoři	DOLEŽALOVÁ Irena CHLADEK J. KORIŤÁKOVÁ Eva CHRASTINA Jan BRÁZDIL Milan
Rok publikování	2020
Druh	Konferenční abstrakty
Fakulta / Pracoviště MU	Lékařská fakulta
Citace
Popis	Vagal nerve stimulation (VNS) offers a possibility for a substantial seizure reduction in approximately 50% of implanted patients. However, there is a large group of patients who do not profit significantly from this therapy. At the moment, there is no widelyaccepted method for prediction of VNS efficacy based on pre-implantation data. Our group has developed and published a statistic classifier based on pre-implantation routine EEG, which was able to predict VNS response in a given patient with high accuracy. The crucial limitation of our previous work was its monocentric nature and the use of only one type of EEG recording system.
Související projekty:	Prediction of Stimulation Efficacy in Epilepsy