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Tytuł: An Ontological Framework for Representing Clinical Knowledge in Decision Support Systems, Journal of Telecommunications and Information Technology, 2014, nr 1

Autor:

Iannaccone, Marco ; Esposito, Massimo

Data wydania:

2014, nr 1

Typ zasobu:

artykuł

Opis:

In the last decades, clinical evidence and expert consensus have been encoded into advanced Decision Support Systems (DSSs) in order to promote a better integration into the clinical workflow and facilitate the automatic provision of patient specific advice at the time and place where decisions are made. However, clinical knowledge, typically expressed as unstructured and free text guidelines, requires to be encoded into a computer interpretable form suitable for being interpreted and processed by DSSs. For this reason, this paper proposes an ontological framework, which enables the encoding of clinical guidelines from text to a formal representation, in order to allow querying, advanced reasoning and management in a well defined and rigorous way. In particular, it jointly manages declarative and procedural aspects of a standards based verifiable guideline model, named GLM-CDS (GuideLine Model for Clinical Decision Support), and expresses reasoning tasks that exploit such a represented knowledge in order to formalize integrity constraints, business rules and complex inference rules.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:1662 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2014.1.1013

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

Decision Support Systems Unstructured Data Rules Clinical Practice Guidelines Ontology

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

2 wrz 2024

Data dodania obiektu:

24 lip 2014

Liczba wyświetleń treści obiektu:

82

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/1937

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Wyświetl opis w formacie OAI-PMH:

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Nazwa wydania Data
Iannaccone, Marco; Esposito, Massimo, An Ontological Framework for Representing Clinical Knowledge in Decision Support Systems, Journal of Telecommunications and Information Technology, 2014, nr 1 2 wrz 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

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biblioteka@il-pib.pl

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