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Authors: Shreelakshmi G. M. ; Kavya A. K. Alse ; AnanthaKrishna Thantri ; Krupesha D. and Srinivas A.

Affiliation: PES Institute of Technology, India

ISBN: 978-989-758-010-9

Keyword(s): Clinical Pathways, Web Ontology Language (OWL), Resource Description Framework (RDF).

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Design and Development Methodologies for Healthcare IT ; Health Information Systems ; Healthcare Management Systems

Abstract: ‘Clinical pathways’ for Diabetes Management has attracted the attention of researchers in the last decade. Ontologies have been in use to represent knowledge pertaining to clinical pathways and to arrive at critical patient-specific decisions. This paper proposes an ontological framework to represent the diabetes related data. The main contribution of the paper is in developing an inference model that helps a General Practitioner (GP) to arrive at the most appropriate clinical pathway for a patient specific condition. The mobile application developed for this purpose makes it very useful for a medical practitioner in a remote rural location to follow a systematic process to arrive at patient specific decisions, based on the Ontological inferences received from the remote server.

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Paper citation in several formats:
G. M. S., A. K. Alse K., Thantri A., D. K. and A. S. (2014). An Intelligent Inference Engine using Ontology based Clinical Pathways for Diagnosis and Management of Diabetes.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 143-150. DOI: 10.5220/0004707301430150

@conference{healthinf14,
author={Shreelakshmi G. M. and Kavya A. K. Alse and AnanthaKrishna Thantri and Krupesha D. and Srinivas A.},
title={An Intelligent Inference Engine using Ontology based Clinical Pathways for Diagnosis and Management of Diabetes},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004707301430150},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - An Intelligent Inference Engine using Ontology based Clinical Pathways for Diagnosis and Management of Diabetes
SN - 978-989-758-010-9
AU - G. M. S.
AU - A. K. Alse K.
AU - Thantri A.
AU - D. K.
AU - A. S.
PY - 2014
SP - 143
EP - 150
DO - 10.5220/0004707301430150

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