National administrative data produces an accurate and stable risk prediction model for short-term and 1-year mortality following cardiac surgery
Author:
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine
Reference21 articles.
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1. Risk Prediction Models for Long-Term Survival after Cardiac Surgery: A Systematic Review;The Thoracic and Cardiovascular Surgeon;2023-02-07
2. Are risk models based on administrative registries any better than those utilizing clinical data?;International Journal of Cardiology;2023-01
3. Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery;Frontiers in Cardiovascular Medicine;2022-05-03
4. Development of Predictive Risk Models for All-cause Mortality in Pulmonary Hypertension using Machine Learning;2021-01-20
5. Utilización de datos administrativos y el volumen de cirugía coronaria. Una nota de precaución. Respuesta;Revista Española de Cardiología;2020-07
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