Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment
Electronic health records capture dense clinical information on patients. Methods are needed to classify people based on clinical data. We use splines to fit individual curves and classify people on curves derivatives. We illustrate the approach on blood pressure measurements captured during hemodialysis. The different classifications relate to risk of cardiovascular events.
classification hemodialysis electronic health records splines functional data analysis