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Chance discovery is the process of human interaction with the environment for discovering events significant for making a decision. We executed the double helix process of chance discovery, on the blood-test data for hepatitis B, for obtaining scenarios telling when and how symptoms essential for treatment appear. In the double-helical process of chance discovery, the presented scenario maps are evaluated and fed back to the following cycles, to obtain novel and potentially useful knowledge for treatment. Due to the combination of the objective facts in the data and the subjective focus of the hepatologists' concerns in this process, the relation between the changes of iron quantities due to iron-carrying proteins and the cure of hepatitis B with interferon, has got clarified visually.

Chance discovery, to discover events significant for making a decision, can be regarded as the emergence of a scenario with extracting events at the turning points of valuable scenarios, by means of communications exchanging scenarios in the mind of participants. In this paper, we apply a method of chance discovery to the data of diagnosis of hepatitis patients, for obtaining scenarios of how the most essential symptoms appear in the patients of hepatitis of type B and C. In the process of discovery, the results are evaluated to be novel and potentially useful for treatment, under the mixture of objective facts and the subjective focus of the hepatologists' concerns. Hints of the relation between f iron metabolism and hepatitis cure, the effective condition for using interferon, etc. has got visualized.