Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy

• Main Authors: Hakeem, Haris, Feng, Wei, Chen, Zhibin, Choong, Jiun, Brodie, Martin J., Fong, Si-Lei, Lim, Kheng-Seang, Wu, Junhong, Wang, Xuefeng, Lawn, Nicholas, Ni, Guanzhong, Gao, Xiang, Luo, Mijuan, Chen, Ziyi, Ge, Zongyuan, Kwan, Patrick
• Format: Article
• Published: Amer Medical Assoc 2022
• Subjects: R Medicine
• Online Access: http://eprints.um.edu.my/41163/

Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-error approach. Under this approach, many patients have to endure sequential trials of ineffective treatments until the ``right drugs'' are prescribed. OBJECTIVE To develop and validate a deep learning mod...