時系列マイニングを用いた人工心肺装置の異常検知
2012 年 2012 巻 DOCMAS-B201 号 p. 04-
詳細
2012 年 2012 巻 DOCMAS-B201 号 p. 04-
This paper proposes a method to detect faults in artificial heart-lung machines that is used during open-heart surgery to keep blood and oxygen moving throughout the body during the surgery. We use a temporal data mining approach for fault detection and also report the results for past surgeries.
