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Visual Analysis for Type 2 Diabetes Mellitus – Based on Electronic Medical Records

  • Conference paper
Smart Health (ICSH 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8549))

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Abstract

A multidimensional-scaling approach is proposed to analyze the main symptoms of T2DM. Based on 200 Type 2 diabetes patients’ electronic medical records, the terms which were used to described symptoms in the records and their co-occurring query terms were analyzed. A distanced-based similarity measure was used to calculate the proximity of terms to one and another based on their co-occurrences in the 200 medical records. After the calculation of the distance between each two keywords, a visual clustering of groups of terms was conducted. Each terms distribution within each visual configuration showed the most common symptoms of Type 2 diabetes such as Foam in Urine, Intermittent Dizziness, Hyperlipemia, Feeble, Diuresis etc; however it also showed some hidden relations behind our cognition.

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Author information

Authors and Affiliations

  1. Department of Public Security Intelligence Science, People’ Public Security University of China, Beijing, 100038, China

    Xi Meng

  2. RIIT, Tsinghua University, Beijing, 100084, China

    Ji-Jiang Yang

  3. TNList, Tsinghua University, Beijing, 100084, China

    Ji-Jiang Yang

Authors
  1. Xi Meng
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  2. Ji-Jiang Yang
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Editor information

Editors and Affiliations

  1. The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China

    Xiaolong Zheng

  2. The University of Arizona, Tucson, AZ, USA and Chinese Academy of Sciences,, Beijing, China

    Daniel Zeng

  3. The University of Arizona, Tucson, AZ, USA and Tsinghua University, Beijing,, China

    Hsinchun Chen

  4. Tsinghua University, Beijing, China

    Yong Zhang  & Chunxiao Xing  & 

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Daniel B. Neill

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© 2014 Springer International Publishing Switzerland

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Meng, X., Yang, JJ. (2014). Visual Analysis for Type 2 Diabetes Mellitus – Based on Electronic Medical Records. In: Zheng, X., Zeng, D., Chen, H., Zhang, Y., Xing, C., Neill, D.B. (eds) Smart Health. ICSH 2014. Lecture Notes in Computer Science, vol 8549. Springer, Cham. https://doi.org/10.1007/978-3-319-08416-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-08416-9_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08415-2

  • Online ISBN: 978-3-319-08416-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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