  Disease Intelligence (DI) is based on the acquisition and aggregation of
fragmented knowledge of diseases at multiple sources all over the world to
provide valuable information to doctors, researchers and information seeking
community. Some diseases have their own characteristics changed rapidly at
different places of the world and are reported on documents as unrelated and
heterogeneous information which may be going unnoticed and may not be quickly
available. This research presents an Ontology based theoretical framework in
the context of medical intelligence and country/region. Ontology is designed
for storing information about rapidly spreading and changing diseases with
incorporating existing disease taxonomies to genetic information of both humans
and infectious organisms. It further maps disease symptoms to diseases and drug
effects to disease symptoms. The machine understandable disease ontology
represented as a website thus allows the drug effects to be evaluated on
disease symptoms and exposes genetic involvements in the human diseases.
Infectious agents which have no known place in an existing classification but
have data on genetics would still be identified as organisms through the
intelligence of this system. It will further facilitate researchers on the
subject to try out different solutions for curing diseases.
