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一个有效的多步特征选择框架,用于使用电子医疗记录预测临床结果

Hongnian Wang1,2, Mingyang Zhang3, Liyi Mai4

  • 1School of Management, Jinan University, Guangzhou, 510632, China.

BMC medical informatics and decision making
|February 18, 2025
PubMed
概括

本研究引入了电子医疗记录 (EMR) 的特征选择 (FS) 框架,有效减少数据维度,同时保持准确的临床结果预测和增强可解释性.

关键词:
临床结果 临床结果电子医疗记录电子医疗记录功能选择 功能选择可以解释性 解释性机器学习是机器学习.风险预测风险预测

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