A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's Disease (DPD) Co-Morbidity
Abstract
Population aging is becoming an increasingly important issue around the world. As people live longer, they also tend to suffer from more challenging medical conditions. Currently, there is a lack of a holistic technology-powered solution for providing quality care at affordable cost to patients suffering from co-morbidity. In this paper, we demonstrate a novel AI-powered solution to provide early detection of the onset of Dementia + Parkinson's disease (DPD) co-morbidity, a condition which severely limits a senior's ability to live actively and independently. We investigate useful in-game behaviour markers which can support machine learning-based predictive analytics on seniors' risk of developing DPD co-morbidity.
Cite
Text
Zeng et al. "A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's Disease (DPD) Co-Morbidity." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/775Markdown
[Zeng et al. "A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's Disease (DPD) Co-Morbidity." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/zeng2020ijcai-gamified/) doi:10.24963/IJCAI.2020/775BibTeX
@inproceedings{zeng2020ijcai-gamified,
title = {{A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson's Disease (DPD) Co-Morbidity}},
author = {Zeng, Zhiwei and Jiang, Hongchao and Zhang, Yanci and Shen, Zhiqi and Ji, Jun and McKeown, Martin J. and Chin, Jing Jih and Leung, Cyril and Miao, Chunyan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2020},
pages = {5297-5299},
doi = {10.24963/IJCAI.2020/775},
url = {https://mlanthology.org/ijcai/2020/zeng2020ijcai-gamified/}
}