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Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score
16
Zitationen
5
Autoren
2021
Jahr
Abstract
The proposed risk models complement existing STS models in predicting mortality, prolonged ventilation, and renal failure, allowing healthcare providers to more accurately assess a patient's risk of morbidity and mortality when undergoing MVS.
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