title: The present state of trend detection and prediction in patient monitoring.
abstract: An investigation has been carried out into the suitability of the following techniques for trend detection and forecasting in patient monitoring: Cusum; Trigg's Tracking Signal; The Patient Condition Factor; The Patient Alarm Warning System; Box-Jenkins models and the Harrison-Stevens Bayesian approach. The latter holds considerable promise since it is flexible and can be implemented on a microprocessor. Consideration has also been given to the need for a better knowledge of the statistical properties of the variables to be monitored and the problems of combining trends detected in severable variables.
mesh_terms: D006801:Humans; D007362:Intensive Care Units; D008722:Methods; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000592:standards*