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From data to the decision: A software architecture to integrate predictive modelling in clinical settings
- Source :
- EMBC, IEEE Engineering in Medicine and Biology Society Conference Proceedings, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, instname
- Publication Year :
- 2016
-
Abstract
- The application of statistics and mathematics over large amounts of data is providing healthcare systems with new tools for screening and managing multiple diseases. Nonetheless, these tools have many technical and clinical limitations as they are based on datasets with concrete characteristics. This proposition paper describes a novel architecture focused on providing a validation framework for discrimination and prediction models in the screening of Type 2 diabetes. For that, the architecture has been designed to gather different data sources under a common data structure and, furthermore, to be controlled by a centralized component ( Orchestrator) in charge of directing the interaction flows among data sources, models and graphical user interfaces. This innovative approach aims to overcome the data-dependency of the models by providing a validation framework for the models as they are used within clinical settings.
Details
- ISSN :
- 26940604 and 1557170X
- Volume :
- 2015
- Database :
- OpenAIRE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Accession number :
- edsair.doi.dedup.....4bbcac1f759ab2c415c620c16a38ed0b