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To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms
Extracorporeal membrane oxygenation (ECMO) is a critical life-support technique for patients with severe medical conditions. Various factors affect the mortality rates of patients in intensive care units, presenting a significant clinical challenge in accurately predicting outcomes based on a limited set of indicators.
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