A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-Morbidity
Zhiwei Zeng, Hongchao Jiang, Yanci Zhang, Zhiqi Shen, Jun Ji, Martin J. Mckeown, Jing Jih Chin, Cyril Leung
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.
BibTeX
@inproceedings{ijcai2020p775,
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 = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {5297--5299},
year = {2020},
month = {7},
note = {Demos},
doi = {10.24963/ijcai.2020/775},
url = {https://doi.org/10.24963/ijcai.2020/775},
}