A framework to characterize the performance of early warning index alarm systems for patient monitoring.

ABSTRACT: In [Scully, C.G., and Daluwatte, C., Evaluating performance of early warning indices to predict physiological instabilities. J Biomed Inform. 75 (2017) 14-21], a framework was presented to characterize the performance of warning indices to provide information on the 1) probability a critical health event will occur when a warning is given (analogous to positive predictive value) and 2) proportion of warned events to all events (analogous to sensitivity). This framework also provides information about the timeliness of the warnings with respect to event occurrence and the warning burden of the system. •In the current work, we provide information on how this framework can be used when cases without events are present in a dataset to examine the proportion of warned non-events to all non-even

SUBMITTER: Daluwatte C 

PROVIDER: S-EPMC6660561 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature