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Augmenting Guideline-based CDSS with Experts’ Knowledge

Authors: Larburu, N; Muro, N; Macía, I; Sanchez, E; Wang, H; Winder, J; Bouaud, J; +1 Authors

Augmenting Guideline-based CDSS with Experts’ Knowledge

Abstract

{"references": ["Bouaud, J., S\u00e9roussi, B., 2011. Revisiting the EBM decision model to formalize non-compliance with computerized CPGs: results in the management of breast cancer with OncoDoc2. AMIA. Annu. Symp. Proc. 2011, 125\u2013134.", "W\u00f6ckel, A., Kurzeder, C., Geyer, V., Novasphenny, I., Wolters, R., Wischnewsky, M., Kreienberg, R., Varga, D., 2010. Effects of guideline adherence in primary breast cancer--a 5-year multi-center cohort study of 3976 patients. Breast Edinb. Scotl. 19, 120\u2013127.", "Lieber, J., d'Aquin, M., Badra, F., Napoli, A., 2008. Modeling adaptation of breast cancer treatment decision protocols in the Kasimir project. Appl. Intell. 28, 261\u2013 274."]}

In this paper we present a novel method to build a CDSS that, besides integrating CIGs, stores experts’ knowledge to enrich the CDSS and provide best support to clinicians. The knowledge includes new evidence collected over time by the systematic usage of CDSSs.

Country
France
Keywords

Evidence Based Medicine, Breast Cancer, Computer Interpretable Clinical Guidelines, CDSS, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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