SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of semantic descriptions. The objective of this paper is to propose a normalized design that solves some of the problems which have been detected by authors in previous tools. The authors bring together two different technologies to develop a new clinical decision support system: description logics aimed at developing inference systems to improve decision support for the prevention, treatment and management of illness and semantic technologies. Because of its new design, the system is capable of obtaining improved diagnostics compared with previous efforts. However, this evaluation is more focused in the computational performance, giving as result that description logics is a good solution with small data sets. In this paper, we provide a well-structured ontology for automated diagnosis in the medical field and a three-fold formalization based on Description Logics with the use of Semantic Web technologies.

[1]  Ida Sim,et al.  A taxonomic description of computer-based clinical decision support systems , 2006, J. Biomed. Informatics.

[2]  Ian Horrocks,et al.  FaCT++ Description Logic Reasoner: System Description , 2006, IJCAR.

[3]  Gottfried Vossen,et al.  Editorial: Revisiting the (Machine) Semantic Web: The Missing Layers for the Human Semantic Web , 2007, IEEE Trans. Knowl. Data Eng..

[4]  Jae Kyu Lee,et al.  Rule identification using ontology while acquiring rules from Web pages , 2007, Int. J. Hum. Comput. Stud..

[5]  David O'Sullivan,et al.  Collaborative Innovation for the Management of Information Technology Resources , 2010, Int. J. Hum. Cap. Inf. Technol. Prof..

[6]  David West,et al.  Model selection for medical diagnosis decision support systems , 2004, Decis. Support Syst..

[7]  Boris Motik,et al.  OWL 2 Web Ontology Language: structural specification and functional-style syntax , 2008 .

[8]  KiryakovAtanas,et al.  OWLIM: A family of scalable semantic repositories , 2011 .

[9]  Sebastian Rudolph,et al.  All Elephants are Bigger than All Mice , 2008, Description Logics.

[10]  Alan L. Rector,et al.  OpenGALEN: Open Source Medical Terminology and Tools , 2003, AMIA.

[11]  Murat M. Tanik,et al.  A System for Building Clinical Research Applications using Semantic Web-Based Approach , 2012, Journal of Medical Systems.

[12]  Sandeep Kumar,et al.  Semantic web reasoners and languages , 2011, Artificial Intelligence Review.

[13]  Rafael Valencia-García,et al.  Combining Semantic Web technologies with Multi-Agent Systems for integrated access to biological resources , 2008, J. Biomed. Informatics.

[14]  Giner Alor-Hernández,et al.  Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach , 2011, Int. J. Decis. Support Syst. Technol..

[15]  Jonathan M. Teich,et al.  Grand challenges in clinical decision support , 2008, J. Biomed. Informatics.

[16]  Shu-Hsien Liao,et al.  Expert system methodologies and applications - a decade review from 1995 to 2004 , 2005, Expert Syst. Appl..

[17]  Martin Boeker,et al.  Strengths and limitations of formal ontologies in the biomedical domain. , 2009, Revista electronica de comunicacao, informacao & inovacao em saude : RECIIS.

[18]  Ricardo Colomo Palacios,et al.  ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements , 2010, Expert Syst. Appl..

[19]  Miltiadis D. Lytras,et al.  Semantic Web applications: a framework for industry and business exploitation - What is needed for the adoption of the Semantic Web from the market and industry , 2008, Int. J. Knowl. Learn..

[20]  Dieter Fensel,et al.  Ontologies: A silver bullet for knowledge management and electronic commerce , 2002 .

[21]  Olivia R. Liu Sheng,et al.  Solving discrete multicriteria decision problems based on logic on logic-based decision support systems , 1987 .

[22]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[23]  Elif Derya íbeyli.  Implementing automated diagnostic systems for breast cancer detection , 2007 .

[24]  John Domingue,et al.  Near-Term Prospects for Semantic Technologies , 2008, IEEE Intelligent Systems.

[25]  Volker Haarslev,et al.  Consistency Testing: The RACE Experience , 2000, TABLEAUX.

[26]  Olivia R. Liu Sheng,et al.  Decision support for healthcare in a new information age , 2000, Decis. Support Syst..

[27]  Martin Boeker,et al.  Adapting Clinical Ontologies in Real-World Environments , 2008, J. Univers. Comput. Sci..

[28]  ELSKE AMMENWERTH,et al.  Review Paper: The Effect of Electronic Prescribing on Medication Errors and Adverse Drug Events: A Systematic Review , 2008, J. Am. Medical Informatics Assoc..

[29]  Adam Wright,et al.  White paper: A Roadmap for National Action on Clinical Decision Support , 2007, J. Am. Medical Informatics Assoc..

[30]  Edward H. Shortliffe,et al.  An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System , 1982, AI Mag..

[31]  Yarden Katz,et al.  Pellet: A practical OWL-DL reasoner , 2007, J. Web Semant..

[32]  M. Graber,et al.  Diagnostic errors in medicine: a case of neglect. , 2005, Joint Commission journal on quality and patient safety.

[33]  Vahid Jalali,et al.  A Unified Architecture for Biomedical Search Engines Based on Semantic Web Technologies , 2011, Journal of Medical Systems.

[34]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[35]  E H Shorthffe,et al.  Computer-based medical consultations mycin , 1976 .

[36]  Carlos Ruiz,et al.  Ontological Engineering and the Semantic Web , 2010 .

[37]  E. Shortliffe.  Clinical decision-support systems , 1990 .

[38]  Randolph A. Miller,et al.  Review: Medical Diagnostic Decision Support Systems - Past, Present, And Future: A Threaded Bibliography and Brief Commentary , 1994, J. Am. Medical Informatics Assoc..

[39]  Bonnie Kaplan,et al.  Clinical decision support systems for the practice of evidence-based medicine. , 2001, Journal of the American Medical Informatics Association : JAMIA.

[40]  Barry Bishop,et al.  OWLIM: A family of scalable semantic repositories , 2011, Semantic Web.

[41]  Thomas H. Payne,et al.  Review Paper: Medication-related Clinical Decision Support in Computerized Provider Order Entry Systems: A Review , 2007, J. Am. Medical Informatics Assoc..

[42]  Juan Miguel Gómez,et al.  Knowledge management in biomedical libraries: A semantic web approach , 2009, Inf. Syst. Frontiers.

[43]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[44]  Atanas Kiryakov,et al.  OWLIM - A Pragmatic Semantic Repository for OWL , 2005, WISE Workshops.

[45]  Helmut Veith,et al.  Proceedings of the 13th international conference on Logic for Programming, Artificial Intelligence, and Reasoning , 2010, ICLP 2010.

[46]  Ian Horrocks,et al.  Description Logics as Ontology Languages for the Semantic Web , 2005, Mechanizing Mathematical Reasoning.

[47]  J. Stockman,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[48]  Adam Wright,et al.  A four-phase model of the evolution of clinical decision support architectures , 2008, Int. J. Medical Informatics.

[49]  Rubén Posada-Gómez,et al.  MEDFINDER - Using Semantic Web, Web 2.0 and Geolocation Methods to Develop a Decision Support System to Locate Doctors , 2009, WEBIST.

[50]  Tran Cao Son,et al.  The semantic web: a brain for humankind , 2001 .

[51]  Boris Motik,et al.  A Comparison of Reasoning Techniques for Querying Large Description Logic ABoxes , 2006, LPAR.

[52]  Inmaculada Pulido-Calvo,et al.  SEDPA, an expert system for disease diagnosis in eel rearing systems , 2005 .

[53]  Elena García Barriocanal,et al.  Knowledge representation issues in ontology-based clinical Knowledge Management systems , 2009, Int. J. Technol. Manag..