An Integrated Bio-Signal Data Mining Mechanism with Applications on Asthma Monitoring and Prevention

• Main Authors: Chia-Yu Chen, 陳佳妤
• Other Authors: Vincent Shin-Mu Tseng
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/94933825211188404809

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 95 === Chronic diseases are the major causes of deaths and disabilities worldwide. The asthma population in Taiwan is also on the rise, thanks to rapid industrial development and changes in lifestyles and food consumption patterns. A report by Taiwan Children's Allergy, Asthma and Immune Institute shows that 11% of the children in Taiwan have asthma [29]. Furthermore, an analysis on asthmatic children in Taipei age seven to fifteen shows an increase of 16.5%, from 1.3% to 17.8%, between year 1974 and 2004 [24]. In our thesis, we proposed an integrated bio-signal data mining system, which monitors bio-signal for chronic asthma patients, and thus is able to calculate the probability of potential asthma attacks. This mechanism provides a user friendly platform that records a patient's daily bio-signal once the user logs in. Then, based on these bio-signal records, along with local air pollution levels and weather reports, our system predicts the chances of asthma attacks. Our studies show an 87.52% of precision and 85.59% of recall, which proves this mechanism to be effective and reliable in asthma attack prediction.