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Updated: May 26, 2025

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
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经合组织卫生系统的比较效率分析:FDH与机器学习方法与效率分析树 (EAT和RFEAT)

Yejin Joo1

  • 1Department of Economics, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul, 151-742, Republic of Korea. yjjoo@snu.ac.kr.

Cost effectiveness and resource allocation : C/E
|February 22, 2025
PubMed
概括

像效率分析树 (EAT) 和随机森林效率分析树 (RFEAT) 这样的机器学习方法提供了比传统方法更可靠的卫生系统效率估计. 这些先进的技术通过减少低估低效率来改善资源配置.

关键词:
效率分析 树木 树木卫生系统 卫生系统低效率 低估 低估 低估 低估经合组织经合组织的经合组织组织的经合组织组织的经合组织的经合组织的经合组织的经合组织的经合组织.用于效率分析的随机森林树木

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