Motivation and Aim
Assist clinicians/researchers in representation
and validation of their knowledge.
Assist in health care improvement.
Exploration of medical knowledge.
Enhance the understanding of the health concepts in
Design a framework for generation (or improvement of
existing) of medical concept maps.
To generate a set of methods to detect obesity related
concepts in literature.
To validate obesity information.
– discover any significant differences in the
understanding of the disease.
To integrate data and literature.
– discover new knowledge related to obesity.
To provide and evaluate a framework for
building and validation of medical concept maps.
Extraction of information from unstructured data.
Performed on documents with complex and specific
terminology and expressions.
Ambiguity, Synonyms, fuzzy conclusions.
Various tools and applications available.
Adaptation to user's and task needs.
Knowledge representation model.
Constructed by concepts and links.
Gather, understand, explore knowledge.
Variety of users.
No explicit detail.
Implementations mainly in education.
Overview of the project
What are we looking for?
– Risk factors
– Causal factors
– Confounding factors
– Outcomes (primary, secondary)
Methodology overview (1)
Set of rules
Methodology overview (2)
Terminology identification Pattern recongition
Compare the results from the use of text mining
methods with the concept map ones.
Are these terms:
b) related to obesity?
Examination and classification of the new concepts/
links through experts.
Validation/enhancement of the concept map.
Use Text Mining methods to:
Extract risk, causal factors, complications, etc.
obtain a better understanding of obesity concepts.
provide a framework for building of medical concept