Development of a vital sign data mining system for chronic patient monitoring

S. Tseng, Lee Cheng Chen, Chao Hui Lee, Jin Shang Wu, Yu Chia Hsu

研究成果: Conference contribution同行評審

16 引文 斯高帕斯(Scopus)

摘要

In recent years, the structure of global population keeps going towards highly-aged continuously. The development of chronic patient medical care system becomes important and meaningful since people paid a lot attention to medical prevention. The medical care system has to provide alerts in time before the severe chronic illness occurs, such as stroke, diabetics, heart disease. Thus, necessary procedures can be taken in short time to save one precious life. In this paper, we presented a data mining system for chronic patient monitoring with applications on caring of cardiovascular patients. By mining vital signs like ECG the system can predict with a classification tree and inform doctors to take actions if any anomaly could happen. A series of experiments on PAF data showed that our system can stably predict the anomaly from patients' ECG data without coding of medical rules as done in other existing approaches.

原文English
主出版物標題Proceedings - CISIS 2008
主出版物子標題2nd International Conference on Complex, Intelligent and Software Intensive Systems
頁面649-654
頁數6
DOIs
出版狀態Published - 8 10月 2008
事件CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems - Barcelona, Spain
持續時間: 4 3月 20087 3月 2008

出版系列

名字Proceedings - CISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems

Conference

ConferenceCISIS 2008: 2nd International Conference on Complex, Intelligent and Software Intensive Systems
國家/地區Spain
城市Barcelona
期間4/03/087/03/08

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