Login / Signup

S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test.

Zeshen TangShiyu TangHaoran WangRenren LiXiaochen ZhangWei ZhangXiao YuanYaning ZangYanping LiTian ZhouYunxia Li
Published in: IEEE journal of biomedical and health informatics (2024)
In conclusion, the proposed deep representation learning method significantly enhances the cognitive diagnosis capabilities of behavior-based TMTs and streamlines large-scale community-based cognitive impairment screening while reducing the workload of professional healthcare staff.
Keyphrases
  • cognitive impairment
  • healthcare
  • machine learning
  • deep learning
  • neural network
  • long term care
  • health information
  • social media