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Use of the Clock Drawing Test and the Rey-Osterrieth Complex Figure Test-copy with convolutional neural networks to predict cognitive impairment.

Young Chul YounJung-Min PyunNayoung RyuMin Jae BaekJae-Won JangYoung Ho ParkSuk-Won AhnHae-Won ShinKwang-Yeol ParkSang Yun Kim
Published in: Alzheimer's research & therapy (2021)
The two drawing tests showed good performance for predicting severe impairment of cognition; however, a drawing test alone is not enough to predict overall CI. There are some limitations to our study: the sample size was small, all the participants did not perform both the CDT and RCFT-copy, and only the copy condition of the RCFT was used. Algorithms involving memory performance and longitudinal changes are worth future exploration. These results may contribute to improved home-based healthcare delivery.
Keyphrases
  • convolutional neural network
  • healthcare
  • cognitive impairment
  • deep learning
  • machine learning
  • working memory
  • cross sectional
  • multiple sclerosis
  • drug induced
  • health insurance