论文标题
公平的COX模型对医疗资源的公平分配
Equitable Allocation of Healthcare Resources with Fair Cox Models
论文作者
论文摘要
医疗保健计划（例如医疗补助计划）为弱势群体提供了重要的服务，但是由于资源有限，许多需要这些服务的人在等待名单上最糟糕的是。生存模型，例如COX比例危害模型可以通过预测个人的需求水平来有可能改善这种情况，然后可以将其用于优先级等待列表。为有需要的人提供护理可以防止这些人的制度化，这既可以提高生活质量并降低总体成本。尽管这种方法的好处是明确的，但必须注意确保优先级的过程是公平或独立于基于人口信息的有害刻板印象的。在这项工作中，我们为生存模型和相应的公平COX比例危害模型开发了多个公平定义，以确保医疗资源的公平分配。我们在两个公开可用的生存数据集上以公平性和预测性准确性来证明我们的方法的实用性。
Healthcare programs such as Medicaid provide crucial services to vulnerable populations, but due to limited resources, many of the individuals who need these services the most languish on waiting lists. Survival models, e.g. the Cox proportional hazards model, can potentially improve this situation by predicting individuals' levels of need, which can then be used to prioritize the waiting lists. Providing care to those in need can prevent institutionalization for those individuals, which both improves quality of life and reduces overall costs. While the benefits of such an approach are clear, care must be taken to ensure that the prioritization process is fair or independent of demographic information-based harmful stereotypes. In this work, we develop multiple fairness definitions for survival models and corresponding fair Cox proportional hazards models to ensure equitable allocation of healthcare resources. We demonstrate the utility of our methods in terms of fairness and predictive accuracy on two publicly available survival datasets.
