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Clinical Trial and Disease Search with Ad Hoc Interactive Ontology Alignments

机译:特设交互式本体论比对的临床试验和疾病搜索

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We will explain how an LODD application based on diseases, drugs, and clinical trials can be used to improve the (ontology-based) clinical reporting process while, at the same time, it improves the patient follow-up treatment process. Specific requirements of the radiology domain let us aggregate RDF results from several LODD sources such as DrugBank, Diseasome, DailyMed, and LinkedCT. The idea is to use state-of-the-art string matching algorithms which allow for a ranked list of candidates and confidences of the approximation of the distance between two diseases at query time. Context information must be provided by the clinician who decides on the "related"-mappings of patient context and links he wants to follow in order to retrieve disease and medication information.
机译:我们将说明如何使用基于疾病,药物和临床试验的LODD应用程序来改进(基于本体论的)临床报告过程,同时改善患者的后续治疗过程。放射学领域的特定要求使我们可以汇总来自多个LODD来源(如DrugBank,Diseasome,DailyMed和LinkedCT)的RDF结果。这个想法是使用最先进的字符串匹配算法,该算法允许候选者的排序列表以及在查询时两种疾病之间距离的近似值的置信度。背景信息必须由临床医生提供,他决定患者背景的“相关”映射以及他想遵循的链接,以便检索疾病和药物信息。

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