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Updated: Sep 11, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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使用机器学习方法预测癌症死亡率:全球对伊朗分析

Hossein Sadeghi1, Fatemeh Seif2

  • 1Department of Physics, Faculty of Sciences, Arak University, Arak, 38156-8-8349, Iran. H-Sadeghi@araku.ac.ir.

BMC cancer
|August 19, 2025
PubMed
概括

机器学习模型准确地预测了全球和伊朗的癌症死亡率. XGBoost表现出卓越的表现,突出了区域因素的影响,并为个性化癌症护理策略提供了信息.

关键词:
早期预测预测的早期预测医疗保健 医疗保健 医疗保健 医疗保健机器学习是机器学习.预测癌症死亡率的预测

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