PhD Thesis: Application of Semantic Technologies for the Creation of High Sensitivity Medical Differential Diagnosis Systems
Description:
The concept high sensitivity makes reference to the capability of a system to produce results even when
the number of inputs is very reduced (for example, one input). This thesis have several goals: In first place
make an analysis of the vast amount of related work which exists about the development of medical diagnosis systems.
The second aim is to demonstrate that the application of Semantic Technologies for the creation of a diagnosis
decision support system (DDSS) is possible, obtaining accurate results.
Also, the problem of multilevel diagnosis (the ability of diagnose a pathology when one of the diagnosis criterions
is another pathology) is addressed applying these technologies.
Finally, as part of the main aims of the thesis, a new methodology to evaluate this kind of system is proposed.
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Main papers published related with the thesis (only journal ones)
- García-Crespo, A., et al. (2010). ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements. Expert Systems with Applications, 37(3), 2621-2628. DOI (Impact factor 2010: 1.924)
- Rodríguez-González, A. et al. (2011). Automated Diagnosis through Ontologies and Logical Descriptions: the ADONIS approach. International Journal of Decision Support System Technology (IJDSST), 3(1), 21-39. DOI
- Rodríguez-González, A. et al. (2011). SeDeLo: Using Semantics and Description Logics to support aided clinical diagnosis. Journal of Medical Systems. DOI (Impact factor 2010: 1.064)
- Rodríguez-González, A. et al. (2012). Towards an Ontology to support semantics enabled Diagnostic Decision Support Systems. Special issue on Semantic Web and Healthcare. Current Bioinformatics. Link (Impact Factor 2010: 0.976)