A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining.

Journal: Studies in health technology and informatics
Published Date:

Abstract

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.

Authors

  • Nichalini Kandasamy
    School of Computer Science & Engineering, University of Westminster, London, UK.
  • Thierry Chaussalet
    Computer Science and Engineering, University of Westminster, London, United Kingdom.
  • Artie Basukoski
    School of Computer Science & Engineering, University of Westminster, London, UK.