论文标题
慢性紧急无家可归者庇护所的早期识别的规则搜索框架
A Rule Search Framework for the Early Identification of Chronic Emergency Homeless Shelter Clients
论文作者
论文摘要
本文使用规则搜索技术来早日识别有长期或长期庇护所使用者风险的紧急无家可归者庇护所客户。使用来自北美主要庇护所的数据集，其中包含与40,000多名人员进行服务相互作用的12年相互作用，因此使用了优化的无序搜索修剪（OPUS）算法来制定既直观又有效的规则。在与实时交付的住房计划兼容的框架内评估了该规则，该计划旨在将高风险客户转变为支持住房。结果表明，使用本文中的方法，鉴定有长期庇护所风险的客户的中位时间从297天到162天。
This paper uses rule search techniques for the early identification of emergency homeless shelter clients who are at risk of becoming long term or chronic shelter users. Using a data set from a major North American shelter containing 12 years of service interactions with over 40,000 individuals, the optimized pruning for unordered search (OPUS) algorithm is used to develop rules that are both intuitive and effective. The rules are evaluated within a framework compatible with the real-time delivery of a housing program meant to transition high risk clients to supportive housing. Results demonstrate that the median time to identification of clients at risk of chronic shelter use drops from 297 days to 162 days when the methods in this paper are applied.
