Need of Ontology Based Systems in HealthCare System

  • Sulistyo Andarmoyo
  • Gusmaizal Syandri
  • Phong Thanh Nguyen
  • E. Laxmi Lydia
  • K. Shankar
Palabras clave: Semantic Web, healthcare, Ontology, theory of object

Resumen

Recently on the Semantic Web the healthcare is consider as one of the finest topic. To match the concept to the indexed documents into s set of representative the textual query is transformed. For apt documents manually the end user still has to search. In this way it becomes a cru- cial task to detect the information of patients. The theory of object is its relationship is considered as Ontology. In information science and computer science the ontology encompasses a definition, representation and formal naming of the relations, categories and properties between entities, concepts and data that substantiate all, many or one domains of discourse.

Biografía del autor/a

Sulistyo Andarmoyo
Universitas Muhammadiyah Ponorogo , Indonesia
Gusmaizal Syandri
Universitas Muhammadiyah Sumatera Barat, Indonesia
Phong Thanh Nguyen
Department of Project Management, Ho Chi Minh City Open University, Vietnam
E. Laxmi Lydia
Professor, Vignan’s Institute of Information Technology(A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India
K. Shankar
Department of Computer Applications, Alagappa University, India

Citas

Maurizio Lenzerini (2002). Data Integration: A Theoretical Per- spective.

E. Mena; V. Kashyap; A. Sheth; A. Illarramendi (1996). OBSERV- ER: An Approach for Query Processing in Global Information Systems based on Interoperation across Pre-existing Ontologies.

Fonseca, F. Egenhofer M., Agouris, P., Camara G. 2002. Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS, −(6):3 in print.

Fabien Gandon “Distributed Artificial Intelligence And Knowl- edge Management: Ontologies And Multi-Agent Systems For A Corpo- rate Semantic Web”, scientific philosopher doctorate thesis in informat- ics INRIA and University of Nice- Sophia Antipolis- Doctoral School of Sciences and Technologies of Information and Communication (S.T.I.C) 7/11/2002, 486 pages.

Noy N.F., McGuinnes D. L. 2001. ‘‘Ontology Development 101: A Guide to Creating Your First Ontology’’. Stanford Knowledge Systems Laboratory Technical Report KSL−01−05 and Stanford Medical Informat- ics Technical Report SMI−2001−0880, March.

Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ. (1995).

Learning medical ontologies from the Web David Sánchez, An- tonio Moreno Intelligent Technologies for Advanced Knowledge Acqui- sition (ITAKA) Research Group Department of Computer Science and Mathematics Universitat Rovirai Virgili (URV).

Le XH, Lee S, Lee Y-K, Lee H, Khalid M, Sankar R. Activity- oriented access control to ubiquitous hospital information and services. Inform Sci. 2010; 180(16):2979–90.

Tsai W-T, Shao Q. Role-based access-control using reference on- tology in clouds. 2011 Tenth International Symposium on Autonomous Decentralized Systems; IEEE; 2011. p. 121–8.

Ardagna CA, De Capitani Di Vimercati S, Foresti S, Grandison TW, Jajodia S, Samarati P. Access control for smarter healthcare using policy spaces. Comput Secur. 2010 Nov; 29(8):848–58.

Fox J, Alabassi A, Patkar V, Rose T, Black E. An ontological ap- proach to modelling tasks and goals. Computers in Biology and Medicine 2006;36:837–56.

Martínez-Costa C, Schulz S. Ontology-Based Reengineering of the SNOMED CT Context Model. Conference on Artificial Intelligence in Medicine in Europe, Springer Berlin Heidelberg; 2013, p. 216–220.

Uribe GA, Lopez DM, Blobel B. Architectural analysis of clin- ical ontologies for pHealth interoperability. Stud Health Technol Inform 2012;177:176–82.

Guariano N. IOS Press. Frontiers in Artificial Intelligence and Ap- plications 1998;46:347.

Campbell JR, Brear H, Scichilone R, White S, Giannangelo K, Carlsen B, et al. Semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD10. Stud Health Technol Inform 2013;192:603–7.

Rodrigues JM, Schulz S, Rector AL, Spackman KA, Üstün B, Chute CG, et al. Do we need a Common Ontology between ICD 11 and SNOMED CT to ensure Seamless Re-Use and Semantic Interoperability? MedInfo, 2013, p. 1234.

Publicado
2019-08-03
Cómo citar
Andarmoyo, S., Syandri, G., Thanh Nguyen, P., Laxmi Lydia, E., & Shankar, K. (2019). Need of Ontology Based Systems in HealthCare System. Opción, 35, 1214-1228. Recuperado a partir de https://produccioncientificaluz.org/index.php/opcion/article/view/30950

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