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Automatical Execution of Clinical Practice Guidelines:An ASP Approach(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2015年02期
Page:
46-
Research Field:
计算机与信息工程
Publishing date:

Info

Title:
Automatical Execution of Clinical Practice Guidelines:An ASP Approach
Author(s):
Huang Jiao; Zhang Zhizheng
School of Computer Science and Engineering,Southeast University,Nanjing 211189,China
Keywords:
clinical practice guidelines; decision-support systems; logic program; knowledge representation
PACS:
TP311
DOI:
-
Abstract:
Clinical practice guidelines(CPGs),are defined as systematically developed statesments to assist physician and patient in making decisions about appropriate health care for specific circumstances. However,these paper-based guidelines are particularly difficult to be applied into real environment. How to realize the automatical execution of guidelines has become a research focus of clinical decision support. Computer-interpretable guideline modeling language is the key point in these researches. Intuitive semantics will facilitate the users to model CPGs in the language,and elaboration tolerance is required to faciliate the update of the models. In this paper,we present a precise definition of the clinical treatment based on a guideline model SDA* and transform it into a logic programming intuitively.

References:

[1] Field,Marilyn J,Kathleen N L,et al. Guidelines for Clinical Practice:from Development to Use[M]. Washington,DC:National Academies Press,1992.
[2]Peleg M,Tu S,Bury J,et al. Comparing computer-interpretable guideline models:a case-study approach[J]. Journal of the American Medical Informatics Association,2003,10(1):52-68.
[3]Mendonça E A. Clinical decision support systems:perspectives in dentistry[J]. Journal of Dental Education,2004,68(6):589-597.
[4]Peleg M. Computer-interpretable clinical guidelines:A methodological review[J]. Journal of Biomedical Informatics,2013,46(4):744-763.
[5]吴彬飞. 临床指南知识表达和应用方法研究[D]. 杭州:浙江大学生物医学工程与仪器科学学院,2010.
Wu Binfei. Study of knowledge representation and application methods for dinical practice practice guidelines[D]. Hangzhou:Zhejiang College of Biomedical Engineering and Instrument Science of Zhejiang University,2010.
[6]Shahar Y,Miksch S,Johnson P.The Asgaard project:a task-specific framework for the application and critiquing of time-oriented clinical guidelines[J].Artificial Intelligence in Medicine,1998,14(1):29-51.
[7]Boxwala A A,Peleg M,Tu S,et al.GLIF3:a representation format for sharable computer-interpretable clinical practice guidelines[J].Journal of Biomedical Informatics,2004,37(3):147-161.
[8]Sutton D R,Fox J.The syntax and semantics of the Proforma guideline modeling language[J].Journal of the American Medical Informatics Association,2003,10(5):433-443.
[9]Musen M A,Tu S W,Das A K,et al. EON:a component-based approach to automation of protocol-directed therapy[J]. Journal of the American Medical Informatics Association,1996,3(6):367-388.
[10]Peleg M,Boxwala A A,Bernstam E,et al.Sharable representation of clinical guidelines in GLIF:relationship to the Arden Syntax[J].Journal of Biomedical Informatics,2001,34(3):170-181.
[11]Campana F,Moreno A,Riaño D,et al. K4care:Knowledge-based Homecare E-services for an Ageing Europe[M]. Basel:Birkhäuser,2008:95-115.
[12]Riano D. The SDA model:a set theory approach[C]//Twentieth IEEE International Symposium on Computer-Based Medical Systems. Slovenia:IEEE Computer Society,2007:563-568.
[13]Lifschitz V. What is answer set programming?[C]//The 23rd National Conference on Artificial Intelligence. Chicago:AAAI,2008,8:1 594-1 597.
[14]McCarthy J. Elaboration tolerance[C]//Common Sense. London:Citeseer,1998:98.
[15]Faber W,Pfeifer G,Leone N,et al. Design and implementation of aggregate functions in the DLV system[J]. TPLP,2008,8(5/6):545-580.
[16]Gebser M,Kaufmann B,Neumann A,et al. Clasp:A Conflict-driven Answer Set Solver[M]. Heidelberg:Springer Berlin,2007:260-265.
[17]Gelfond M,Lifschitz V. The stable model semantics for logic programming[C]//ICLP/SLP. Cambridge:MIT Press,1988,88:1 070-1 080.
[18]Gelfond M,Kahl Y. Knowledge Representation,Reasoning,and the Design of Intelligent Agents:The Answer-set Programming Approach[M]. Cambridge:Cambridge University Press,2014.
[19]Gebser M,Schaub T,Thiele S. Gringo:A New Grounder for Answer Set Programming[M]//Logic Programming and Nonmonotonic Reasoning. Heidelberg:Springer Berlin,2007:266-271.

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Last Update: 2015-06-20