Routing Health-Oriented Questions to Appropriate Doctors

doi:10.7652/xjtuxb201412009

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Routing Health-Oriented Questions to Appropriate Doctors

更新时间：2025-07-09

- Routing Health-Oriented Questions to Appropriate Doctors
- Vol. 48, Issue 12, Pages: 57-62+139(2014)
- 作者机构：
  
  西安交通大学软件学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201412009
  CLC： TP181
- Online First：10 December 2014，
  
  Published：2014
- 稿件说明：
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Routing Health-Oriented Questions to Appropriate Doctors[J]. 2014, 48(12): 57-62+139.
DOI：

Routing Health-Oriented Questions to Appropriate Doctors[J]. 2014, 48(12): 57-62+139. DOI： 10.7652/xjtuxb201412009.

摘要

针对医疗社区问答系统中的健康问题

提出了一种新的问题回答者推荐机制

以提高问题解决的效率。该机制引入了医生回答问题的态度

将问题-医生的专业匹配程度和医生回答问题的态度关联起来一同考虑; 使用概率超图和查询似然语言模型对问题-医生的专业匹配进行建模

利用历史数据对医生的态度进行建模; 使用回归模型对问题-医生的专业匹配和态度进行自适应权衡。进行了大量基于真实数据集的实验对所提出的机制进行了验证。实验结果表明:与常用的方法相比

本文所提出的机制准确度能提高30%; 很大程度上提高了问题解决的效率。

Abstract

A novel mechanism connecting health seekers to appropriate doctors is proposed to improve the efficiency of question resolving in community-based health service systems. Attitudes of doctors answering questions are introduced in the mechanism

and both the professional matching degree between doctors and questions and the doctor's attitudes are associated and considered at the same time. The probabilistic hypergraph and the query likelihood language model are used to model the professional matching degree

and a doctor's attitude is modeled from his historical data. Meanwhile

a regression model is used to trade off between the professional matching degree and the doctor's attitude. Extensive experimental results on several real-world datasets show that the matching precision of the proposed mechanism increases by about 30%

and the efficiency of resolving problems is greatly improved.

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references

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