Symptom based Hierarchical Classification of Diabetes and Thyroid
  disorders using Fuzzy Cognitive Maps
  Fuzzy Cognitive Maps (FCMs) are soft computing technique that follows an
approach similar to human reasoning and human decision-making process, making
them a valuable modeling and simulation methodology. Medical Decision Systems
are complex systems consisting of many factors that may be complementary,
contradictory, and competitive; these factors influence each other and
determine the overall diagnosis with a different degree. Thus, FCMs are
suitable to model Medical Decision Support Systems. The proposed work therefore
uses FCMs arranged in hierarchical structure to classify between Diabetes,
Thyroid disorders and their subtypes. Subtypes include type 1 and type 2 for
diabetes and hyperthyroidism and hypothyroidism for thyroid.
