Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery
CONCLUSION
Machine learning models may provide clinical decision support as to which patients to focus on for perioperative preventive treatment in order to preemptively reduce massive perioperative allogeneic blood transfusion by predicting, which patients are not at risk.
TRIAL REGISTRATION
Johannes Kepler University Ethics Committee Study Number 1091/2021, Clinicaltrials.gov identifier NCT04856618.
Source: European Journal of Anaesthesiology - Category: Anesthesiology Tags: Artificial intelligence Source Type: research
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