Development of a long-term survival prediction model for patients undergoing invasive coronary angiography using ensemble-based machine learning in time-to-event analysis.

BACKGROUND: Prognosis prediction for high-risk patients undergoing invasive coronary angiography (ICA) is crucial for clinical decision-making. Despite machine learning (ML) advancements, time-to-event survival prediction remains limited. OBJECTIVES:…

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