Summary
The chronological scenarios of individual patients of hepatitis C are understood, from the double helix process of chance discovery. Here, first the internal data is obtained from the thought of user who is non-expert of hepatitis, having learned premature knowledge about hepatitis from preceding communications with hepatologists and overviewed the output the KeyGraph applied to blood test data of an individual hepatitis patient. This internal data was visualized and fed back to user’s own awareness about the significance of a certain set of blood attributes. The individual patient data got in parallel visualized with DSV, tool for visualizing a scenario flow, and the awareness of the user above was used to annotate on the output of DSV. This clarified the complex scenario of each patient, and lead hepatic doctors to proposing suitable treatments.
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Ohsawa, Y., Matsumura, N., Okazaki, N. (2005). Understanding Scenarios of Individual Patients of Hepatitis in Double Helical Process Involving KeyGraph and DSV. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_52
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DOI: https://doi.org/10.1007/3-540-32391-0_52
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