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疾病特征的知识整合:乳腺癌示例

Knowledge Integration for Disease Characterization: A Breast Cancer Example
课程网址: http://videolectures.net/iswc2018_seneviratne_knowledge_disease/  
主讲教师: Oshani Seneviratne
开课单位: 伦斯勒理工学院
开课时间: 2018-11-22
课程语种: 英语
中文简介:
随着癌症研究的快速发展,有助于确定疾病特征、分期肿瘤以及制定治疗和生存计划的信息正在以一种速度发生变化,这在执业肿瘤学家和医生试图保持最新状态时带来了挑战。这方面的一个例子涉及在表征乳腺肿瘤的病理预后阶段时增加生物标志物的使用。我们提出了支持癌症表征的语义技术方法,并在我们的端到端原型系统中进行了演示,该系统从权威肿瘤学手册中收集了最新的乳腺癌分期标准,以构建乳腺癌本体。使用我们开发的利用这一本体的工具,医生可以根据权威和最佳实践指南快速确定新患者,以支持识别风险、治疗方案和监测计划。医生还可以对现有患者进行重新分期,从而发现特定患者队列中分期发生变化的患者。随着新指南的出现,使用我们提出的机制(该机制以语义技术为基础,用于从分期手册中获取新数据),我们创建了一个丰富的癌症分期本体,该本体集成了来自多个来源的相关数据,几乎不需要人工干预。
课程简介: With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when practicing oncologists and physicians try to remain current. One example of this involves increasing usage of biomarkers when characterizing the pathologic prognostic stage of a breast tumor. We present our semantic technology approach to support cancer characterization and demonstrate it in our end-to-end prototype system that collects the newest breast cancer staging criteria from authoritative oncology manuals to construct an ontology for breast cancer. Using a tool we developed that utilizes this ontology, physicians can quickly stage a new patient to support identifying risks, treatment options, and monitoring plans based on authoritative and best practice guidelines. Physicians can also re-stage an existing patient, allowing them to find patients whose stage has changed in a given patient cohort. As new guidelines emerge, using our proposed mechanism, which is grounded by semantic technologies for ingesting new data from staging manuals, we have created an enriched cancer staging ontology that integrates relevant data from several sources with very little human intervention.
关 键 词: 癌症研究的快速发展; 分期肿瘤以及制定治疗; 执业肿瘤学家; 最佳实践指南
课程来源: 视频讲座网
数据采集: 2022-12-29:cyh
最后编审: 2023-05-15:cyh
阅读次数: 32