Machine learning used to predict outcome of Covid-19 patients

This technique, known as proning, is commonly used in this setting to improve oxygenation of the lungs, but is not suitable for all patients. Researchers from Imperial College London gave the algorithm each patient's data on a daily basis instead of only on admission so that it could more accurately track their condition. They believe the system could be used to improve guidelines in clinical practice going forward and could be applied to potential future waves of the pandemic and other diseases treated in similar clinical settings. First author of the study Dr Brijesh Patel said: "Most studies look at the health of a patient on admission to ICU and whether they were discharged or sadly died. In ICU there is a huge amount of information which we use at the bedside to manage patients on a day-by-day basis and our study focuses on how the patients' state changed daily. "This helped focus our attention on which specific parameters matter the most and how the importance of each parameter changes over time.