Case-Based Reasoning in a Travel Medicine Application - Computational Intelligence in Healthcare: Advanced Methodologies - page 197

develop the architecture we are planning to improve it in several areas. One
of these are the Collector Agents working on the community platform, which
we plan to advance from a rule-based approach to a classification method that
is able to learn from feedback, so more workload is taken off the Knowledge
Engineer.
docQuery is the first instantiation of SEASALT and has a strong focus on the
knowledge modularization and reassembly with the goal to provide an informa-
tion leaflet for a traveler. Moreover, docQuery shows how various AI method-
ologies can be used to realize an intelligent information system that provides
complete and reliable information for individual journeys considering all aspects
a travel medicine physician would do. We also introduced how various hetero-
geneous knowledge sources can be queried as well as we provided a web-based
maintenance strategy that enables an intelligent system to use Web 2.0 platforms
like web forums to extend its case base.
Travel medicine is for sure a specific application domain that cannot compared
to any other application because the information we deal with are health related
and we have to make sure that only correct and understandable are produced.
We are confident that the techniques along with the SEASALT architecture can
be used within different application domains that cover a combination of topics.
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