Formalization of Clinical Practice Guidelines: Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine

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.

[1]  V. de Lédinghen,et al.  Diagnostic value of biochemical markers (FibroTest-FibroSURE) for the prediction of liver fibrosis in patients with non-alcoholic fatty liver disease , 2006, BMC gastroenterology.

[2]  Dominique Thabut,et al.  Diagnostic value of biochemical markers (NashTest) for the prediction of non alcoholo steato hepatitis in patients with non-alcoholic fatty liver disease , 2006, BMC gastroenterology.

[3]  L. Fernández-Salazar,et al.  Approach to the pathogenesis and treatment of nonalcoholic steatohepatitis. , 2004, Diabetes care.

[4]  M. Charlton.  Nonalcoholic fatty liver disease: a review of current understanding and future impact. , 2004, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[5]  Marie-Christine Jaulent,et al.  Decision support system based semantic web for personalized patient care. , 2012, Studies in health technology and informatics.

[6]  Jos De Roo,et al.  Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[7]  Jos De Roo,et al.  Clinical Diagnosis Support System Based on Case Based Fuzzy Cognitive Maps and Semantic Web , 2012, MIE.

[8]  G. Farrell,et al.  Nonalcoholic fatty liver disease: From steatosis to cirrhosis , 2006, Hepatology.

[9]  Hong Sun,et al.  Improve treatment of pneumonia and reduce adverse drug events , 2013, 2013 IEEE Point-of-Care Healthcare Technologies (PHT).

[10]  A. Sanyal,et al.  AGA technical review on nonalcoholic fatty liver disease. , 2002, Gastroenterology.

[11]  Jos De Roo,et al.  Diagnosis Support System based on clinical guidelines: comparison between Case-Based Fuzzy Cognitive Maps and Bayesian Networks , 2014, Comput. Methods Programs Biomed..

[12]  N. Douali,et al.  Genomic and personalized medicine decision support system , 2012, 2012 IEEE International Conference on Complex Systems (ICCS).

[13]  Jana Zvárová,et al.  Formalization of Clinical Practice Guidelines , 2008, MIE.

[14]  C. Day,et al.  Non-alcoholic steatohepatitis (NASH): a disease of emerging identity and importance. , 1998, Journal of hepatology.

[15]  Marie-Christine Jaulent,et al.  Noninvasive Diagnosis of Nonalcoholic Steatohepatitis Disease Based on Clinical Decision Support System , 2013, MedInfo.

[16]  Jos De Roo,et al.  New Semantic Web rules and new medical reasoning framework , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).