Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment - Publication - Bridge of Knowledge

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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)

  • Photo of  Eider Sanchez

    Eider Sanchez

    • Vicomtech-IK4 Research Centre .
  • Photo of  Wang Peng

    Wang Peng

    • The University of Newcastle, University Drive School of Engineering, Faculty of Engineering and Built Environment
  • Photo of  Carlos Toro

    Carlos Toro

    • Vicomtech-IK4 Research Centre .
  • Photo of  Cesar Sanin

    Cesar Sanin

    • The University of Newcastle, University Drive School of Engineering, Faculty of Engineering and Built Environment
  • Photo of  Manuel Grana

    Manuel Grana

    • University of the Basque Country UPV/EHU .
  • Photo of  Eduardo Carrasco

    Eduardo Carrasco

    • Vicomtech-IK4 Research Centre .
  • Photo of  Frank Guijarro

    Frank Guijarro

    • Bilbomatica, C/ Santiago de Compostela .
  • Photo of  Luis Brualla

    Luis Brualla

    • Valencia General University Hospital .

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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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