Project: Multivariate Event Sequence Visualization of Heterogeneous Data
Description
Discrete multivariate event sequences can be found in domains ranging from healthcare to transportation. Discrete multivariate event sequences are discrete records of a state with multiple attributes that form a chronologically ordered sequence. For example, consider the medication intake of a patient. In this example, each medication intake is a discrete event. Each medication event has multiple attributes (multivariate), e.g. the doctor administering the medication and the location of the patient. All these events form a sequences of the medication intake per patient. This is only a simple example with two attributes, but in reality there can be tenths or hundreds of attributes. For analysis it is necessary to examine perspectives of different attributes (for example, sequences about medication per patient or sequences about medication given per doctor). Current research focuses on analyzing and comparing these discrete multivariate sequences, which can be used as a starting point of your master project.
Current research does not take multivariate events sequences from different sources into account. These different sources can be images, text and numerical data for example. This also means that the attributes per source can be different. Your research will look at different possibilities to visualize these multivariate event sequences from these different sources to give insight to the user, while taking the domain knowledge of the user into account. We have a medical data set that could be used for this project if this also fits your interest.
Details
- Student
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YHYouri Haenen
- Supervisor
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Stef van den Elzen
- Secondary supervisor
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Sanne van der Linden
- Link
- Thesis