论文标题
在医疗方案中对语言表达的衡量协议
Measuring agreement on linguistic expressions in medical treatment scenarios
论文作者
论文摘要
生活质量评估是确定治疗成功和生存能力的关键过程。因此，患者对其功能状况和福祉的看法是减损评估的重要意见。鉴于患者完成的问卷通常用于评估患者状况并确定未来的治疗选择，因此了解患者和不同的医疗专业人员使用的单词的一致性很重要。在本文中，我们提出了一种称为“一致比率”的度量，该措施在通过模糊集（FSS）对单词进行建模时提供了总体协议的比率。该措施是专门设计用于评估该协议中模糊集的该措施的，这些集合是从患者反应等数据中产生的。该度量依赖于使用JACCARD相似性度量来比较生成的FSS中的不同一致性水平。
Quality of life assessment represents a key process of deciding treatment success and viability. As such, patients' perceptions of their functional status and well-being are important inputs for impairment assessment. Given that patient completed questionnaires are often used to assess patient status and determine future treatment options, it is important to know the level of agreement of the words used by patients and different groups of medical professionals. In this paper, we propose a measure called the Agreement Ratio which provides a ratio of overall agreement when modelling words through Fuzzy Sets (FSs). The measure has been specifically designed for assessing this agreement in fuzzy sets which are generated from data such as patient responses. The measure relies on using the Jaccard Similarity Measure for comparing the different levels of agreement in the FSs generated.
