Disease Trajectory Visualization System Based on Big Data Analytics
Pages 73 - 75
Abstract
Background: For health promotion, recognition of risk factors that may modify health needs is necessary, and people then have the opportunity to change their behavior if they are aware of the risk factors. Big data analysis of health data is emerging as a new trend in research that may lead to discovery of unknown facts, and visualization of data is a convenient way in which to understand the characteristics of the data. This study used the National Health Insurance Research Database (NHIRD) as the basis to construct a visualization model for disease trajectory analysis.
Methods: The NHIRD, which includes inpatient expenditure by admission (DD) and ambulatory care expenditure by visit (CD) data, was used in this study. We analyzed the medical care of patients, such as medications, surgery, medical expenditure and total length of stay, and calculated the number of patients who suffered other diseases within the next 6 months, 12 months and 24 months. A Sankey diagram was employed to show the disease trajectory. Based on data analytics, we constructed a system that helps the user to easily understand the disease trajectory.
System implementation: The system includes two panels, a user input panel and an output panel. Using the input panel, the user can input basic information, such as gender, age, date and the queried disease. Based on user input and analytical models, the system will show the detailed trajectory for each queried disease, such as medical expenditure, medications and total length of stay in hospital, and uses Sankey diagrams to show the disease trajectory.
Conclusions: This study constructed a visualization system based on analysis of the NHIRD. The Taiwan National Health Insurance Administration, Ministry of Health and Welfare, constructed the Health Bank, which contains health data of all individuals. This method may enable prediction of the risks of diseases in the future.
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- Disease Trajectory Visualization System Based on Big Data Analytics
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Published In
June 2018
270 pages
ISBN:9781450363891
DOI:10.1145/3239438
Copyright © 2018 ACM.
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In-Cooperation
- Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan: Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 June 2018
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- Research-article
- Research
- Refereed limited
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ICMHI '18
ICMHI '18: 2018 2nd International Conference on Medical and Health Informatics
June 8 - 10, 2018
Tsukuba, Japan
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