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Design and implementation of an Ontology for the computable representation of clinical prediction rules [Diseño e implementación de una ontologia para la representación de Reglas de Predicción Clínica]
Derek Corrigan, Adel Taweel, Tom Fahey, Theodoros Arvanitis, Brendan Delaney
Language English, Spanish Country Czech Republic Media elektronický zdroj
Document type Research Support, Non-U.S. Gov't
- MeSH
- Acute Disease MeSH
- Algorithms * MeSH
- Appendicitis diagnosis MeSH
- Diagnosis, Computer-Assisted methods MeSH
- Diagnosis, Differential MeSH
- Humans MeSH
- Evidence-Based Medicine MeSH
- Decision Support Techniques * MeSH
- Software Design MeSH
- Primary Health Care MeSH
- Reproducibility of Results MeSH
- Decision Making MeSH
- Decision Support Systems, Clinical * MeSH
- Research Design MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
Objective: A lack of acceptance has hindered the widespread adoption and implementation of clinical prediction rules (CPRs). The use of clinical decision support systems (CDSSs) has been advocated as one way of facilitating a broader dissemination and validation of CPRs. This requires computable models of clinical evidence based on open standards rather than closed proprietary content. Methods: The on-going TRANSFoRm project has developed ontological models of CPRs suitable for providing CPR based decision support.
HRB Centre for Primary Care Research Royal College of Surgeons in Ireland Ireland
Diseño e implementación de una ontologia para la representación de Reglas de Predicción Clínica
Design and implementation of an Ontology for the computable representation of clinical prediction rules [elektronický zdroj] /
References provided by Crossref.org
Literatura
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