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The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.
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Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial
Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...
Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...
A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.
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