Objective: Non-alcoholic fatty liver disease (NAFLD) is a recently recognized entity related to modern lifestyle and with expanded clinical importance because of the rising incidence of obesity and diabetes.
Methods: We have developed a framework for interacting with patient’s heterogeneous data (omics, clinical and biological information) and formalizing medical knowledge.
Results: In this paper we present new diagnosis model to predicate NASH. We extracted 18 clinical concepts and these concepts are annotated with SNOMED CT concepts. We tested our diagnostic model with database of 36 patients. We have a performance of 91%.
Conclusion: This work represents a preliminary step in developing a CDSS and we’ll use a clinical database to test this system and to compare it with others statistic reasoning methods.