Visualising Health Trajectories
Name
Patrick Lomp
Abstract
The goal of this thesis is to produce an interactive tool to visualize medical data analysis results using graphs. The interactive tool is a part of a larger R package called Trajectories. Trajectories package has an algorithm that identifies common sequences of events in medical data. Such trajectories of diagnoses, drug prescriptions and procedures can get rather complicated and good visualisation methods are needed for finding relevant patterns in the data. In this thesis, a Shiny application is made, which can be used to browse the results of patterns found in medical data and do further characterization of trajectories of interest.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Raivo Kolde, Maarja Pajusalu
Defence year
2021