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Subpopulation process mining in healthcare

Filipovic, Simona (2020) Subpopulation process mining in healthcare.

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Abstract:In clinical pathways, there are thought to be differences between the treatment of different patient subpopulations. This paper provides a method for comparing clinical pathways of different patient subpopulations. To perform and validate the method three diseases were chosen, diabetes type II, chronic kidney disease and urinary tract infection. Within these diseases a number of different subpopulations were chosen from the MIMIC-III v1.4 data set to be compared against each other. Analysis of data shows statistically significant differences in clinical pathways in the form of graph per subpopulation. The results indicate that it is possible to apply process comparison within process mining on medical data and that the resulting models are sound within the medical domain.
Item Type:Essay (Bachelor)
Clients:
Unknown organization, enschede, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/82212
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