Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023

Zhi-Jin Zhang; Hao-Feng Wang; Yu-Sha Cui; Shi-Nuan Lin; Han Jiao; Fan-Gang Meng; Tao Feng

doi:10.1016/j.mmr.2026.100055

您当前的位置：

首页 >

文章列表页 >

Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023

RESEARCH | 更新时间：2026-08-21

- Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023
- Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023
- “开发了一个集成泊松回归和ARIMA模型的混合DNN-Transformer框架，用于预测到2050年LMIC的癫痫患病率，预测7204万例继发性癫痫病例的增长速度比特发性癫痫快7倍以上，为解决资源有限环境中的医疗规划挑战提供了解决方案。”
- Zhi-Jin Zhang ，Hao-Feng Wang ，Yu-Sha Cui ，Shi-Nuan Lin ，Han Jiao ，Fan-Gang Meng ，Tao Feng
- 军事医学研究（英文） 2026年
- 作者机构：
  Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
  China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
  National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing 100089, China
  HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
  Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Diseases, Shenzhen 518000, Guangdong, China
  Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- 作者简介：
  Fan-Gang Meng, fgmeng@ccmu.edu.cn
  *Tao Feng, bxbkyjs@sina.com;
- 基金信息：
  the National Natural Science Foundation of China(82271459;82571426);the Beijing High-level Innovative and Entrepreneurial Talent Support Program(G202512038)
- DOI： 10.1016/j.mmr.2026.100055
  中图分类号：
- 录用：2026-07-16 ，
- 稿件说明：
移动端阅览
DOI：
DOI：

AI导读
HTML全文
图( 4 ) 表( 1 )
参考文献
出版信息
数据统计

26

浏览量

22

下载量

0

CSCD

文章被引用时，请邮件提醒。

提交

工具集

BibTeX下载
Endnote下载
RefMan 下载
NoteExpress下载
NoteFirst下载

关联资源

Clinical information prompt-driven retinal fundus image for brain health evaluation

Epileptic seizure biophysics: the role of local voltage difference

The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050

Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023

Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023

DOI： 10.1016/j.mmr.2026.100055

AI导读

HTML全文

图( 4 ) 表( 1 )

参考文献

出版信息

数据统计

摘要

Abstract

关键词

Keywords

references