Designing Ontology-Based Knowledge Integration for Preprocessing of Medical Data in Enhancing a Machine Learning System for Coding Assignment of a Multi-Label Medical Text
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
Designing Ontology-Based Knowledge Integration for Preprocessing of Medical Data in Enhancing a Machine Learning System for Coding Assignment of a Multi-Label Medical Text

Authors: Phanu Waraporn

Abstract:

This paper discusses the designing of knowledge integration of clinical information extracted from distributed medical ontologies in order to ameliorate a machine learning-based multilabel coding assignment system. The proposed approach is implemented using a decision tree technique of the machine learning on the university hospital data for patients with Coronary Heart Disease (CHD). The preliminary results obtained show a satisfactory finding that the use of medical ontologies improves the overall system performance.

Keywords: Medical Ontology, Knowledge Integration, Machine Learning, Medical Coding, Text Assignment.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086711

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1803

References:


[1] Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Comput. Surv., 34(1), 1-47.
[2] Nelson, S.J., et al. (2001). Relationships in medical subject headings. In C.A. Bean & R. Green (Eds.), Relationship in the Organization of Knowledge. New York: Kluwer Academic Publishers, (pp. 171-184).
[3] Gruber, T. (1995). Toward Principles for the Design of Ontologies used for Knowledge Sharing. International Journal of Human-Computer Studies, 43, 907-928.
[4] WHO. World Health Organization. www.who.int, www.who.int/ classifications/icd/en/
[5] Martin-Valdivia, M.T. (2009) Expanding terms with medical ontologies to improve a multi-label text categorization system. In P.Violaine and R. Mathieu (Eds.), Information Rerieval in Biomedicine: Natural Language Processing for Knowledge Integration, (pp 38-57).
[6] Bhogal, J., et al. (2007) A review of ontology based query expansion. Information Processing & Management, 43(4), July 2007, 866-886.
[7] Waraporn, P. (2008). Proposed framework for interpreting medical diagnosis records using adopted WordNet/Medical WordNet. Proceedings of Technology and Innovation for Sustainable Development Conference (TISD2008), 05_004_2008I, 433-436.
[8] Waraporn, P. (2008). Distributed Ontological Engineering and Integrated Development of Medical Diagnosis Coding Ontology for State Hospitals in Thailand, Proceedings of National Conference on Computer and Information Technology (NCIT 2008).