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Towards a Process-Based and Service-Oriented Intelligent Framework for Ig/TCR Clonality Testing in Suspected Lymphoproliferative Neoplasms

机译:朝着可疑淋巴抑制性肿瘤中的IG / TCR克隆性测试的基于过程和服务导向的智能框架

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Cancer care centers aim at automating the carried out procedures in their labs in order to reduce staff effort and increase test accuracy. This has motivated the researchers undertaking Ig/TCR clonality testing at a cancer care organisation to derive a requirements model for a process-based and service-oriented intelligent framework in diagnosing malignant lymphoproliferative neoplasms. However, eliciting the requirements for such a framework has been challenged by the incomplete specifications of the Ig/TCR testing in the cancer care lab protocols. Workflow models using Business Process Modelling Notation (BPMN) has been developed to deliver a validated set of Ig/TCR workflow models. These BPMN workflow models constituted the base for deriving functional and service requirements for Ig/TCR testing linked with related quality requirements. The triangulation between Ig/TCR process models, the functional/service-oriented requirements and quality requirement formed the foundations to propose an intelligent framework for Ig/TCR clonality testing with process mining and data analytics driven by current and historical Ig/TCR events in a particular lab of a cancer care centre.
机译:癌症护理中心旨在自动化其实验室中进行的程序,以减少员工努力并提高测试准确性。这使得研究人员在癌症关怀组织中进行IG / TCR克隆性测试,以导出诊断恶性淋巴抑制性肿瘤的基于过程和服务导向的智能框架的要求模型。然而,诱因癌症护理实验室协议中IG / TCR测试的不完全规范挑战这种框架的要求。已经开发了使用业务流程建模符号(BPMN)的工作流程模型来提供经过验证的IG / TCR工作流模型集。这些BPMN工作流程模型构成了导出与相关质量要求相关的IG / TCR测试的功能和服务要求的基础。 IG / TCR工艺模型之间的三角测量,功能/服务导向的要求和质量要求形成了基础,为IG / TCR克隆性测试提出了一种通过当前和历史IG / TCR事件驱动的过程挖掘和数据分析的IG / TCR Clonity测试的智能框架癌症护理中心的特殊实验室。

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