| Abstrakt: |
Researchers at the Hainan Hospital of Chinese People's Liberation Army General Hospital have developed a machine learning model to predict one-year mortality in elderly coronary heart disease (CHD) patients with anemia. The model was validated using a cohort of 974 elderly patients with CHD and externally validated with a series of 112 elderly CHD patients with anemia. The model identified risk factors such as heart rate, chronic heart failure, and tachycardia, as well as protective factors including hemoglobin, albumin, and certain medications. The ensemble machine learning model outperformed other algorithms in terms of predictive performance and provides valuable insights for risk assessment and clinical decision-making. [Extracted from the article] |
