School of Computer Science & Engineering, University of Westminster, London, UK.
Stud Health Technol Inform. 2023 Jun 29;305:190-193. doi: 10.3233/SHTI230459.
Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior through algorithms. The separate application of Process Mining and Machine Learning for healthcare purposes has been widely explored with a various number of published works discussing their use. However, the simultaneous application of Process Mining and Machine Learning algorithms is still a growing field with ongoing studies on its application. This paper proposes a feasible framework where Process Mining and Machine Learning can be used in combination within the healthcare environment.
流程挖掘是一种针对现有流程流进行分析和挖掘的技术。另一方面，机器学习是数据科学领域和人工智能的一个分支，主要目的是通过算法复制人类行为。已经广泛探索了将流程挖掘和机器学习分别应用于医疗保健目的，并且有大量的出版物讨论了它们的使用。然而，流程挖掘和机器学习算法的同时应用仍然是一个不断发展的领域，正在进行关于其应用的研究。本文提出了一个可行的框架，在该框架中可以在医疗保健环境中结合使用流程挖掘和机器学习。
