A framework for modeling and monitoring medical time series is developed, based on extensions to the linear dynamic model. The approach is designed to provide for on-line, recursive updating and inference for time series that are subject to several forms of potential discontinuous change, and that may have missing values. The models and methods introduced are illustrated with three biomedical series.
No takes yet. Share an insight, caveat, or question.
Gordon et al. (1990) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: