Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: A cross-sectional machine learning approach

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: A cross-sectional machine learning approach
Desautels T.; Das R.; Calvert J.; Trivedi M.; Summers C.; Ercole A.; Wales D.J.
BMJ Open; Sep 2017; vol. 7 (no. 9)

• Analysis of data for patients (n=2018) using a novel machine learning algorithm based on transfer learning could discriminate between patients with unplanned ICU readmission or death outcome and those without this outcome, and was superior to the purpose-built Stability and Workload Index for Transfer (SWIFT) score.
• Setting: ICU Addenbrooke’s Hospital, Cambridge, UK. General and neuroscience ICU episodes collected between October 2014 and August 2016, Patients >= 16yrs