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Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment
Abstract
Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence maintenance is often faulty. In this paper, we propose a (semi-)automatic update process of the underlying knowledge bases and decision criteria of CDSS, following a learning paradigm based on previous experiences, such as the continuous learning that clinicians carry out in real life. In this process clinical decisional events are acquired and formalized inside the system by the use of the SOEKS and Decisional DNA experiential knowledge representation techniques. We propose three algorithms processing clinical experience to: (a) provide a weighting of the different decision criteria, (b) obtain their fine-tuning, and (c) achieve the formalization of new decision criteria. Finally, we present an implementation instance of a CDSS for the domain of breast cancer diagnosis and treatment.
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Authors (9)
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Eider Sanchez
- Vicomtech-IK4 Research Centre .
-
Wang Peng
- The University of Newcastle, University Drive School of Engineering, Faculty of Engineering and Built Environment
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Carlos Toro
- Vicomtech-IK4 Research Centre .
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Cesar Sanin
- The University of Newcastle, University Drive School of Engineering, Faculty of Engineering and Built Environment
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Manuel Grana
- University of the Basque Country UPV/EHU .
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Eduardo Carrasco
- Vicomtech-IK4 Research Centre .
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Frank Guijarro
- Bilbomatica, C/ Santiago de Compostela .
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Luis Brualla
- Valencia General University Hospital .
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Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
NEUROCOMPUTING
no. 146,
pages 308 - 318,
ISSN: 0925-2312 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Sanchez E., Peng W., Toro C., Sanin C., Grana M., Szczerbicki E., Carrasco E., Guijarro F., Brualla L.: Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment// NEUROCOMPUTING. -Vol. 146, (2014), s.308-318
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.neucom.2014.06.032
- Verified by:
- Gdańsk University of Technology
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