Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery

Overview of attention for article published in Frontiers in Cardiovascular Medicine, December 2021

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So far, Dimensions has found 14 publications that cite this research output.

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The most recent citing publications are shown below. View all 14 publications that cite this research output on Dimensions.

Enhancing Trauma Care: A Machine Learning Approach with XGBoost for Predicting Urgent Hemorrhage Interventions Using NTDB Data

Article in Bioengineering (July 2024)

Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy

Article in BMC Urology (July 2024)

A complexity evaluation system for mitral valve repair based on preoperative echocardiographic and machine learning

Article in Hellenic Journal of Cardiology (April 2024)

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