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An Agent-based Game for the Predictive Diagnosis of Parkinson's Disease


Authors: Y. Cai, Z. Shen, S. Liu, H. Yu, X. Han, J. Ji, M. J. McKeown, C. Leung, and C. Miao
Title: An Agent-based Game for the Predictive Diagnosis of Parkinson's Disease
Abstract: Existing Parkinson's Disease (PD) diagnosis relies heavily on doctors' observations combined with neurological exams. Such a technique is often inconvenient, infrequent, and subjective, which leads to a high misdiagnosis rate. As several cardinal symptoms of PD require long term observations, a technology platform which allows potential PD patients to exhibit related behaviors in a natural setting over long period of time is needed. In this paper, we describe an agent-based game for the predictive diagnosis of PD. Agents in this tablet based game provide companionship, encouragement, and analysis capabilities to help retain users' interest, and analyze their risk of developing PD symptoms based on their in-game behavior. The game has been launched together with a world renowned PD research centre for clinical trial. It can potentially provide a new dimension of longitudinal interactive behavior data to assist early and more accurate PD diagnosis in the future.
Keywords: Parkinson's disease; Predictive diagnosis; Agents; Game with a purpose
Conference Name: 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)
Location: Paris, France
Publisher: IFAAMAS
Year: 2014
Accepted PDF File: An_agent-based_game_for_the_predictive_diagnosis_of_parkinsons_disease_accepted.pdf
Permanent Link: http://aamas2014.lip6.fr/proceedings/aamas/p1663.pdf
Reference: Y. Cai, Z. Shen, S. Liu, H. Yu, X. Han, J. Ji, M. J. McKeown, C. Leung, and C. Miao, “An agent-based game for the predictive diagnosis of Parkinson’s disease,” in Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’14). IFAAMAS, May 2014, pp. 1663–1664.
bibtex: 
@inproceedings{LILY-c21,
   author 	= {Cai, Yundong and Shen, Zhiqi and Liu, Siyuan and Yu, Han and Han, Xiaogang and Ji, Jun and McKeown, Martin J. and Leung, Cyril and Miao, Chunyan},
   title 	= {An Agent-based Game for the Predictive Diagnosis of {P}arkinson's Disease},
   booktitle	= {Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)},
   year 	= {2014},
   month	= {May}, 
   pages 	= {1663-1664},
   location 	= {Paris, France},
   publisher 	= {IFAAMAS},
}