Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm

FAN Yuanyuan; WANG Feng; ZENG Panke; FENG Weiyi

doi:10.6039/j.issn.1001-0408.2025.24.18

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Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm

更新时间：2025-12-26

- Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm
- “The research team of the First Affiliated Hospital of Xi'an Jiaotong University has constructed a timely medication retrieval prediction model for outpatient patients, accurately identifying high-risk patients with delayed medication retrieval and providing data support for optimizing the allocation of smart pharmacy resources.”
- ZHONGGUO YAOFANG Vol. 36, Issue 24, Pages: 3118-3124(2025)
- 作者机构：
  
  1.西安交通大学第一附属医院药学部，西安　710061
  2.西北妇女儿童医院药剂科，西安　710061
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2025.24.18
  CLC： R952
- Received：14 September 2025，
  
  Revised：2025-10-16，
  
  Accepted：05 December 2025，
  
  Published：30 December 2025
- 稿件说明：
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范园园,王丰,曾攀科,等.基于两阶段自适应阈值集成学习算法的门诊患者及时取药预测模型研究 ^Δ[J].中国药房,2025,36(24):3118-3124.

FAN Yuanyuan,WANG Feng,ZENG Panke,et al.Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm[J].ZHONGGUO YAOFANG,2025,36(24):3118-3124.
范园园,王丰,曾攀科,等.基于两阶段自适应阈值集成学习算法的门诊患者及时取药预测模型研究 ^Δ[J].中国药房,2025,36(24):3118-3124. DOI： 10.6039/j.issn.1001-0408.2025.24.18.

FAN Yuanyuan,WANG Feng,ZENG Panke,et al.Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm[J].ZHONGGUO YAOFANG,2025,36(24):3118-3124. DOI： 10.6039/j.issn.1001-0408.2025.24.18.

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Research on the timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm

DOI：10.6039/j.issn.1001-0408.2025.24.18