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Naim Mridha

prince charles hospital
H指数:6
被引数:99

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Machine Learning vs Traditional Approaches to Predict All-Cause Mortality for Acute Coronary Syndrome: A Systematic Review and Meta-analysis

机器学习与传统方法预测急性冠状动脉综合征全因死亡率的比较:一项系统评价和Meta分析

2025-02-170
PRE
Machine-learning versus traditional risk scores for predicting clinical outcomes after coronary artery bypass graft surgery: a systematic review and meta-analysis

机器学习与传统风险评分在预测冠状动脉旁路移植术后临床结局中的应用比较:一项系统评价和荟萃分析

2024-11-120
PRE
Artificial intelligence for the prediction of all-cause mortality and readmission in heart failure: a meta-analysis of twenty studies

人工智能在心力衰竭全因死亡率和再入院率预测中的应用:一项包含二十项研究的荟萃分析

2024-11-120
PRE
Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis

经皮冠状动脉介入治疗后风险预测的机器学习方法: 系统回顾和荟萃分析

2024-10-143
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