论文标题
经过认证的医疗系统中的机器学习连续设计控制
Continuous Design Control for Machine Learning in Certified Medical Systems
论文作者
论文摘要
连续的软件工程在许多领域已变得司空见惯。但是，在规范密集型部门（需要考虑其他问题）时，通常认为很难采用连续的开发方法，例如DevOps。在本文中，我们提出了一种使用拉力请求作为设计控件的方法，并将这种方法应用于认证的医疗系统中，该方法利用模型卡，这是一种新颖的技术，旨在为机器学习系统增加解释性，作为监管审计跟踪。我们以前曾使用过一种工业系统来证明这种方法，以表明如何以连续的方式开发医疗系统。
Continuous software engineering has become commonplace in numerous fields. However, in regulating intensive sectors, where additional concerns needs to be taken into account, it is often considered difficult to apply continuous development approaches, such as devops. In this paper, we present an approach for using pull requests as design controls, and apply this approach to machine learning in certified medical systems leveraging model cards, a novel technique developed to add explainability to machine learning systems, as a regulatory audit trail. The approach is demonstrated with an industrial system that we have used previously to show how medical systems can be developed in a continuous fashion.
