Analysis and prediction of unplanned intensive care unit readmission

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory
PLoS ONE 14(7): e0218942. 8 July 2019

• Research using machine learning methods on comprehensive, longitudinal clinical data from the MIMIC-III to predict the ICU readmission of patients within 30 days of their discharge.
• Machine learning techniques such as Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM) were used to incorporate the multivariate features of EHRs and capture sudden fluctuations in chart event features. These machine learning models identify ICU readmissions at a higher sensitivity rate and an improved Area Under the Curve compared with traditional methods.