Abstract
Medical data are generated in large quantities every day. There are many aspects to medical data, including clinical information, administration data, and time granularity, and the number of chronic disease patients increases yearly. However, clinicians have limited time to review and process patient data. Information visualization is therefore required for the efficient management and utilization of the data. The management of chronic disease requires information technology if it is to improve the quality and efficiency of health care. In this paper, we consider the visualization of medical data, focusing on the diversity of medical data and chronic disease care.
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Toyoda, S., Niki, N. (2013). Information Visualization for Chronic Patient’s Data. In: Tanaka, Y., Spyratos, N., Yoshida, T., Meghini, C. (eds) Information Search, Integration and Personalization. ISIP 2012. Communications in Computer and Information Science, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40140-4_9
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DOI: https://doi.org/10.1007/978-3-642-40140-4_9
Publisher Name: Springer, Berlin, Heidelberg
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