The multi-state Kalman Filter in medical monitoring.
In order to gain the best advantage from a computer database the way in which the information is displayed is vitally important. On-line statistical techniques could prove to be a great bonus to medical monitoring but have been limited by the methodology available. The Kalman Filter is one of the most powerful methods for time series analysis, and we have now shown it to be useful in a variety of settings, including the detection of kidney transplant rejection, where detection in some patients precedes that of experienced clinicians.
D000465:Algorithms; D003196:Computer Graphics; D003936:Diagnosis, Computer-Assisted; D006084:Graft Rejection; D006801:Humans; D016030:Kidney Transplantation; D008991:Monitoring, Physiologic / Q000379:methods*; D009862:Online Systems