论文标题
当表现不够时 - 关于临床决策支持的多学科观点
When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
论文作者
论文摘要
关于医疗保健机器学习的科学出版物通常是关于实施新方法并提高性能的科学出版物 - 至少从计算机科学的角度来看。但是，除了经常短暂的改进外，如果我们想在医疗保健方面取得可持续发展，需要考虑更多。实际实施这样的系统，使其适用于域专家并可能将其用于实际用法需要什么？这项工作针对计算机科学家，对医疗决策支持系统中的机器学习有了多学科的看法，并涵盖了信息技术，医疗以及道德方面。除了肾脏病的实施风险预测系统外，还提出了试点项目中所学到的挑战和经验教训。
Scientific publications about machine learning in healthcare are often about implementing novel methods and boosting the performance - at least from a computer science perspective. However, beyond such often short-lived improvements, much more needs to be taken into consideration if we want to arrive at a sustainable progress in healthcare. What does it take to actually implement such a system, make it usable for the domain expert, and possibly bring it into practical usage? Targeted at Computer Scientists, this work presents a multidisciplinary view on machine learning in medical decision support systems and covers information technology, medical, as well as ethical aspects. Along with an implemented risk prediction system in nephrology, challenges and lessons learned in a pilot project are presented.
