Wyszukiwarka
Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment
Abstrakt
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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Autorzy (9)
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Eider Sanchez
- Vicomtech-IK4 Research Centre .
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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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Edward Szczerbicki prof. dr hab. inż.
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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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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
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NEUROCOMPUTING
nr 146,
strony 308 - 318,
ISSN: 0925-2312 - Język:
- angielski
- Rok wydania:
- 2014
- Opis bibliograficzny:
- 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:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.neucom.2014.06.032
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 91 razy
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