ABSTRACT

We present the architecture and the usability testing of a novel cloud-based platform, which integrates cyber-physical systems and interoperability standards enabling a clinical decision support system for risk stratification, diagnosis, prognosis and treatment of CAD. In this work multi-disciplinary human data were used for the development of machine learning and computational biomechanics based predictive models. Two Lab-on-Chip devices have been integrated into the cloud platform. A targeted RNA-panel provides the mRNA gene expression values for the stratification algorithm. The results of the usability testing demonstrate that the platform is efficient, accurate and performs all developed tasks quickly.

摘要

我们介绍了一个新颖的基于云的平台的体系结构和可用性测试，该平台集成了网络物理系统和互操作性标准，从而为临床决策，风险分层，诊断，预后和CAD治疗提供了支持系统。在这项工作中，多学科的人类数据被用于开发机器学习和基于计算生物力学的预测模型。两个芯片实验室设备已集成到云平台中。靶向的RNA面板为分层算法提供了mRNA基因表达值。可用性测试的结果表明该平台高效，准确并且可以快速执行所有开发的任务。