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Visual Information Framework for Medical Family Tree Data (Genogram)

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Advances in Visual Informatics (IVIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9429))

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Abstract

Family tree is one of the most common ways to trace the genealogy of a certain person. Family trees contain a lot of potential information to be explored especially for research purposes. However, many family trees fail to properly encode all necessary and useful information. Genogram therefore seems to be the most suitable visual representation of medical family tree data as it contains complex information that can be clearly presented in a diagram using genogram symbols and color-coded lines. Some limitations are problems in visualizing the wealth and complexity of the information represented once a family tree gets bigger. Hence, a new framework for exploring medical family tree data is proposed in this paper. By using genogram as a tool and a few selected visualization techniques as an enhancement in designing these new framework, which will allows users to maximize usage of data by exploring the data from several different viewpoints. This framework follows the design of advanced graphical user interface guide which is the Visual Information-Seeking Mantra “Overview first, Zoom and Filter, then Details-on Demand”, proposed by Shneiderman in 1996. Using this framework (visualization tool), it is also possible to predict health risk factors based on medical family tree data. This visualization tool can be utilized for personal use or by healthcare professionals.

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Acknowledgments

We thank Universiti Sains Malaysia (USM) for providing the funding (Research University (RUI) Grant - no: 1001/PKOMP/817071) through which this article was produced.

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Authors and Affiliations

  1. School of Computer Sciences, Universiti Sains Malaysia, USM, 11800, Penang, Malaysia

    Siti Fatimah Bokhare & Wan Mohd Nazmee Wan Zainon

Authors
  1. Siti Fatimah Bokhare
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  2. Wan Mohd Nazmee Wan Zainon
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Corresponding author

Correspondence to Wan Mohd Nazmee Wan Zainon .

Editor information

Editors and Affiliations

  1. Fac Info Science and Techn, Universiti Kebangsaan Malaysia, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Center for Digital Video Process, Dublin 9, Ireland

    Alan F. Smeaton

  4. Computer Science and Information Enginee, National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  5. Kingston University, Kingston upon Thames, United Kingdom

    Sergio Velastin

  6. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Azizah Jaafar

  7. Universiti Kebangsaan Malaysia, Institute of Visual Informatics, Bangi, Malaysia

    Nazlena Mohamad Ali

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Bokhare, S.F., Zainon, W.M.N.W. (2015). Visual Information Framework for Medical Family Tree Data (Genogram). In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2015. Lecture Notes in Computer Science(), vol 9429. Springer, Cham. https://doi.org/10.1007/978-3-319-25939-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-25939-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25938-3

  • Online ISBN: 978-3-319-25939-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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