建立乳腺癌风险评分平台的挑战

E. Gauthier, Laurent Brisson, P. Lenca, F. Clavel-Chapelon, S. Ragusa
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引用次数: 5

摘要

根据世界卫生组织的数据,癌症最近已成为全球死亡的主要原因。因此,卫生当局承认有必要实施预防和筛查计划,以减少其发病率。这些项目的效率可以通过针对高危人群来提高。因此,需要能够监测人口风险的有效工具。提出了建立癌症风险评分的限制和对工具平台的影响。除了风险评分的性能之外,主要的约束涉及领域专家的角色和最终用户的可接受性。因此,可读性是一个重要的标准。结果表明,在领域专家的帮助下,简单的k近邻算法可以获得良好的性能。为了说明这一点,仅为法国人口提供了由四个属性组成的风险评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges to building a platform for a breast cancer risk score
Cancer has recently become the leading cause of death worldwide according to the World Health Organization. As a consequence, health authorities acknowledge the need to implement prevention and screening programs to decrease its incidence. The efficiency of these programs can be increased by targeting higher risk subsets of the population. Efficient tools capable of monitoring the population risk are therefore needed. Constraints to building cancer risk scores and impacts on the tools platform are presented. Major constraints beyond performance of a risk score concern the role of domain experts and their acceptability by end users. Readability is therefore an important criterion. It is shown that a simple k-nearest-neighbor algorithm can achieve good performance with the help of the domain expert. To illustrate this, a risk score made of only four attributes is presented for the French population.
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