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Using Semantic Web Technologies for Clinical Trial Recruitment

机译:使用语义网络技术进行临床试验招聘

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Clinical trials are fundamental for medical science: they provide the evaluation for new treatments and new diagnostic approaches. One of the most difficult parts of clinical trials is the recruitment of patients: many trials fail due to lack of participants. Recruitment is done by matching the eligibility criteria of trials to patient conditions. This is usually done manually, but both the large number of active trials and the lack of time available for matching keep the recruitment ratio low. In this paper we present a method, entirely based on standard semantic web technologies and tool, that allows the automatic recruitment of a patient to the available clinical trials. We use a domain specific ontology to represent data from patients' health records and we use SWRL to verify the eligibility of patients to clinical trials.
机译:临床试验是医学科学的基础:他们为新的治疗和新的诊断方法提供了评估。临床试验中最困难的部分之一是患者的招募:由于缺乏参与者,许多试验失败。征聘是通过将试验的资格标准与患者条件相匹配来完成的。这通常是手动完成的,但既有大量的积极试验也是可用于匹配的缺乏,保持招聘比率低。本文介绍了一种方法,完全基于标准语义网络技术和工具,可以自动招募患者的可用临床试验。我们使用域特定本体代表患者健康记录的数据,我们使用SWRL验证患者的可乐量是否临床试验。

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