Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach, Pattern Recognition Letters, vol.28, issue.6, pp.673-685, 2007. ,
DOI : 10.1016/j.patrec.2006.08.007
A translation approach to portable ontology specifications, Knowledge Acquisition, vol.5, issue.2, pp.199-220, 1993. ,
DOI : 10.1006/knac.1993.1008
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.7493
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, 2004. ,
What are ontologies, and why do we need them? Intelligent Systems and Their Applications, pp.20-26, 1999. ,
DOI : 10.1109/5254.747902
Semantic Storage: Overview and Assessment, 2005. ,
The Semantic Web, Scientific American, vol.284, issue.5, 2001. ,
DOI : 10.1038/scientificamerican0501-34
The Mt. Hood challenge: cross-testing two diabetes simulation models, Diabetes Research and Clinical Practice, vol.50, issue.3, pp.57-64, 2000. ,
DOI : 10.1016/S0168-8227(00)00217-5
URL : https://hal.archives-ouvertes.fr/hal-00856094
The global diabetes model: user friendly version 3.0, Diabetes Research and Clinical Practice, vol.50, issue.3, pp.15-46, 2000. ,
DOI : 10.1016/S0168-8227(00)00215-1
The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk, Diabetes Care, vol.26, issue.3, pp.725-731, 2003. ,
DOI : 10.2337/diacare.26.3.725
Archimedes: A trial-validated model of diabetes, Diabetes Care, vol.26, issue.11, pp.3093-3101, 2003. ,
DOI : 10.2337/diacare.26.11.3093
Validation of the Archimedes Diabetes Model, Diabetes Care, vol.26, issue.11, pp.3102-3110, 2003. ,
DOI : 10.2337/diacare.26.11.3102
Diabetes risk score in Oman: A tool to identify prevalent type 2 diabetes among Arabs of the Middle East, Diabetes Research and Clinical Practice, vol.77, issue.3, pp.438-444, 2007. ,
DOI : 10.1016/j.diabres.2007.01.013
Joint Effects of Common Genetic Variants on the Risk for Type 2 Diabetes in U.S. Men and Women of European Ancestry, Annals of Internal Medicine, vol.150, issue.8, pp.541-550, 2009. ,
DOI : 10.7326/0003-4819-150-8-200904210-00008
Validation of Prediction of Diabetes by the Archimedes Model and Comparison With Other Predicting Models, Diabetes Care, vol.31, issue.8, pp.1670-1671, 2008. ,
DOI : 10.2337/dc08-0521
TWNFI ??? a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling, Neural Networks, vol.19, issue.10, pp.1591-1596, 2006. ,
DOI : 10.1016/j.neunet.2006.05.028
Statistical Learning Theory, 1998. ,
Explanation-based generalization: A unified view, Machine Learning, pp.47-80, 1997. ,
Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965. ,
DOI : 10.1016/S0019-9958(65)90241-X
Fuzzy logic, Computer, vol.21, issue.4, pp.83-93, 1988. ,
DOI : 10.1109/2.53
Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, vol.15, pp.116-132, 1985. ,
Inactivation of the Fto gene protects from obesity, Nature, vol.134, issue.7240, pp.894-899, 2009. ,
DOI : 10.2337/diab.45.11.1455
An Integrated Approach for Ontology Based Personalized Modeling: Chronic Disease Ontology, Risk Evaluation and Knowledge Discovery, 2010. ,
DOI : 10.1007/978-3-642-02490-0_146
Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support, Computational Intelligence in Bioinformatics, 2008. ,
DOI : 10.1007/978-3-540-70778-3_4
Integrated optimisation method for personalised modelling and case studies for medical decision support, International Journal of Functional Informatics and Personalised Medicine, vol.3, issue.3, pp.236-256, 2010. ,
DOI : 10.1504/IJFIPM.2010.039123
Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data, Artificial Neural Networks ? ICANN 2009. Part II, pp.10-19, 2009. ,
DOI : 10.1016/j.patrec.2006.08.007
Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis, Artificial Neural Networks ? proceedings of ICANN 2010 Part I, 2010. ,
DOI : 10.1007/978-3-642-15819-3_29
Advances in Medical Decision Support Systems for Diagnosis of Acute Graft-versus-Host Disease: Molecular and Computational Intelligence Joint Approaches, Frontiers in Biology, pp.10-1007 ,
Personalized Modeling based Gene Selection for acute GvHD Gene Expression Data Analysis: a Computational Framework Proposed, Machine Learning Applications, 2010. ,