A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy

A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy

Epilepsy affects ~2–3 million individuals in the United States, a third of whom have uncontrolled seizures. Sudden unexpected death in epilepsy (SUDEP) is a catastrophic and fatal complication of poorly controlled epilepsy and is the primary cause of mortality in such patients. Despite its huge publ...

Full description

Bibliographic Details
Main Authors: Xiaojin Li, Shiqiang Tao, Samden D. Lhatoo, Licong Cui, Yan Huang, Johnson P. Hampson, Guo-Qiang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Big Data
Subjects:
epilepsy
sudden unexpected death in epilepsy (SUDEP)
multimodal clinical data resource
ontology-driven system design
personalized risk assessment
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.965715/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2022.965715/full

Similar Items