Decision support systems for preventing ICU readmissions

2013-2015

In this project, we apply advanced computational and modelling strategies to clinical data sets (including both instrumentation data and text medical notes) in an effort to. 1) identify important factors or features that lead to unfavourable or favourable clinical conditions that determine if a patient should be released or not from that ICU with minimum risk of readmission; 2) Design specific decision models that will support clinician’s decisions in terms of releasing a patient form the ICU, in order to achieve more favourable clinical outcomes.