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progViz: Visualizing Patient Journeys Based on Finite State Models

Anastasiya Zakreuskaya,J. Hapfelmeier

Published 2019 in International Conference on Information Visualisation

ABSTRACT

Patient journeys are the key for treatment development, quality insurance and better understanding of disease progression. Therefore, many visualization toolkits exist to monitor individual patient lives. However, there is no visualization that relies on the overall patterns of patient journeys. We propose a new framework progViz that visualizes patterns of patient journeys, which rely on finite state models. These models are able to illustrate progression of diseases, treatment and outcomes of whole populations as well as very specific analyses. Finally, we propose a method to evaluate how treatment affects disease progression.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    International Conference on Information Visualisation

  • Publication date

    2019-07-01

  • Fields of study

    Medicine, Computer Science

  • Identifiers
    DOI 10.1109/IV.2019.00075
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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