A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient’s medical history

Abstract Background Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, due to the variations in their modes of action, identification of effect...

Full description

Bibliographic Details

Published in:	BMC Medical Informatics and Decision Making
Main Authors:	Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na
Format:	Article
Language:	English
Published:	BMC 2024-05-01
Subjects:	Clinical decision-supporting system Pediatric Epilepsy Anti-epileptic drug Medical history Convolutional neural network Machine learning
Online Access:	https://doi.org/10.1186/s12911-024-02552-w