Sanne van der Linden

ORCID: 0000-0003-2430-0406
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About
Contact & Profiles
Research Areas
  • Data Visualization and Analytics
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Image Retrieval and Classification Techniques
  • Time Series Analysis and Forecasting
  • Sensory Analysis and Statistical Methods
  • Topic Modeling

Eindhoven University of Technology
2022-2023

Event sequence data is a special type of time-dependent that captures information about the order in which discrete events occur. The time-dimension one factors makes event hard to understand. Other contribute this complexity are dimensionality terms amount and attributes, frequency consistency density, varying durations, parallel occurrences. When end-users need compare sequences, all these characteristics be considered justified. In state-of-the-art report we review visualization...

10.1016/j.cag.2023.05.016 article EN cc-by Computers & Graphics 2023-05-26

Healthcare systems are under pressure from an aging population, rising costs, and increasingly complex conditions treatments. Although data determined to play a bigger role in how doctors diagnose prescribe treatments, they struggle due lack of time abundance structured unstructured information. To address this challenge, we introduce MediCoSpace , visual decision-support tool for more efficient doctor-patient consultations. The links patient reports past present diagnoses, diseases, drugs,...

10.1145/3564275 article EN ACM Transactions on Management Information Systems 2022-09-26

Abstract In many domains, multivariate event sequence data is collected focused around an entity (the case). Typically, each has multiple attributes, for example, in healthcare a patient events such as hospitalization, medication, and surgery. addition to the events, also case (a specific attribute, e.g., patient) associated (e.g., age, gender, weight). Current work typically only visualizes one attribute per (label) sequences. As consequence, can be explored from predefined case‐centric...

10.1111/cgf.14820 article EN cc-by Computer Graphics Forum 2023-06-01
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