Capturing Scientific Knowledge on Medical Risk Factors
http://data.open.ac.uk/oro/46810
is a Article , Academic article

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Dataset Open Research Online
At 8th International Conference on Knowledge Capture (K-CAP 2015)
Date 2015
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Status Peer reviewed
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  • http://data.open.ac.uk/oro/document/475022
  • http://data.open.ac.uk/oro/document/475023
  • http://data.open.ac.uk/oro/document/475024
  • http://data.open.ac.uk/oro/document/475025
  • http://data.open.ac.uk/oro/document/475026
  • http://data.open.ac.uk/oro/document/475027
  • http://data.open.ac.uk/oro/document/475624
Abstract In this paper, we describe a model for representing scientific knowledge of risk factors in medicine in an explicit format which enables its use for automated reasoning. The resulting model supports linking the conclusions of up-to-date clinical research with data relating to individual patients. This model, which we have implemented as an ontology-based system using Linked Data, enables the capture of risk factor knowledge and serves as a translational research tool to apply that knowledge to assist with patient treatment, lifestyle, and education. Knowledge captured using this model can be disseminated for other intelligent systems to use for a variety of purposes, for example, to explore the state of the available medical knowledge.
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  • Third, Allan ; Kaldoudi, Eleni; Gkotsis, George ; Roumeliotis, Stefanos; Pafili, Kalliope and Domingue, John (2015). Capturing Scientific Knowledge on Medical Risk Factors. In: 8th International Conference on Knowledge Capture (K-CAP 2015), 7-10 Oct 2015, Palisades, NY.
  • Third, Allan ; Kaldoudi, Eleni; Gkotsis, George ; Roumeliotis, Stefanos; Pafili, Kalliope and Domingue, John (2015). Capturing Scientific Knowledge on Medical Risk Factors. In: 8th International Conference on Knowledge Capture (K-CAP 2015), 7-10 Oct 2015, Palisades, NY.
Title Capturing Scientific Knowledge on Medical Risk Factors