Title
A constraint logic programming approach to identifying inconsistencies in clinical practice guidelines for patients with comorbidity
Abstract
This paper describes a novel methodological approach to identifying inconsistencies when concurrently using multiple clinical practice guidelines. We discuss how to construct a formal guideline model using Constraint Logic Programming, chosen for its ability to handle relationships between patient information, diagnoses, and treatment suggestions. We present methods to identify inconsistencies that are manifested by treatment-treatment and treatment-disease interactions associated with comorbidity. Using an open source constraint programming system (ECLiPSe), we demonstrate the ability of our approach to find treatment given incomplete patient data and to identify possible inconsistencies.
Year
DOI
Venue
2011
10.1007/978-3-642-22218-4_37
AIME '87
Keywords
Field
DocType
possible inconsistency,patient information,present method,open source constraint programming,multiple clinical practice guideline,formal guideline model,constraint logic programming approach,treatment suggestion,novel methodological approach,incomplete patient data,constraint logic programming
Data mining,Computer science,Clinical Practice,Constraint programming,Comorbidity,Eclipse,Guideline,Constraint logic programming,Medical diagnosis
Conference
Citations 
PageRank 
References 
4
0.43
1
Authors
5
Name
Order
Citations
PageRank
Martin Michalowski115515.03
Marisela Mainegra Hing2272.51
Szymon Wilk346140.94
Wojtek Michalowski426641.48
Ken Farion510612.61