将因果随机森林和线性回归进行比较,以估计组织因素与ICU效率的独立关联

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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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Leonardo S L Bastos1, Safira A Wortel2, Ferishta Bakhshi-Raiez2

  • 1Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.

International journal of medical informatics
|August 7, 2024
PubMed
概括

因果随机森林 (CRF) 和线性回归建模 (LRM) 都确定了影响ICU效率的因素. CRF强调了具有重大影响的具体单位,帮助改善医疗管理的有针对性的干预措施.

关键词:
因果推断的原因推断是因果推断.因果随机森林的原因效率 效率是指效率是指效率.在重症监护病房的重症监护病房.组织特征 组织特征

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