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Updated: Jul 6, 2025

An R-Based Landscape Validation of a Competing Risk Model
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区域医疗保健资金分配的风险调整:一个实证研究和解释

Tuukka Holster1, Shaoxiong Ji2,3, Pekka Marttinen2,3

  • 1Finnish Institute for Health and Welfare (THL), Helsinki, Finland. tuukka.holster@thl.fi.

The European journal of health economics : HEPAC : health economics in prevention and care
|January 3, 2024
PubMed
概括

整合机器学习方法,包括随机森林和梯度提升,与线性回归相比,大大提高了医疗成本预测的准确性. 这些先进的模型提供了可解释性,并从社会经济数据中获益,以便更好地调整风险.

关键词:
医疗保健成本 医疗保健成本解释 解释 解释机器学习是机器学习.预测建模的预测建模.风险调整 风险调整社会经济信息社会经济信息.

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