Mobile-Based Clock Drawing Test for Detecting Early Signs of Dementia
Abstract
Dementia is one of the major causes of disability and dependency among older people. Early detection is the key for preserving the quality of life of the patients and reducing caring costs. The Clock Drawing Test (CDT) is commonly used by clinicians to screen for early signs of dementia. We build an automated CDT that runs on mobile platforms, enabling convenient and frequent self-monitoring and testing at minimal costs. Our system combines both a spatial-temporal approach and a purely image-based deep learning approach to analyze and evaluate the hand-drawn clocks based on established clinical criteria. Our system produces scores that are highly correlated with expert human raters.
Cite
Text
Jiang et al. "Mobile-Based Clock Drawing Test for Detecting Early Signs of Dementia." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.18008Markdown
[Jiang et al. "Mobile-Based Clock Drawing Test for Detecting Early Signs of Dementia." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/jiang2021aaai-mobile/) doi:10.1609/AAAI.V35I18.18008BibTeX
@inproceedings{jiang2021aaai-mobile,
title = {{Mobile-Based Clock Drawing Test for Detecting Early Signs of Dementia}},
author = {Jiang, Hongchao and Zhang, Yanci and Zeng, Zhiwei and Ji, Jun and Wang, Yu and Chi, Ying and Miao, Chunyan},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2021},
pages = {16048-16050},
doi = {10.1609/AAAI.V35I18.18008},
url = {https://mlanthology.org/aaai/2021/jiang2021aaai-mobile/}
}